(Created page with " An '''intelligence quotient''' ('''IQ''') is a total score derived from a set of standardised tests or subtests designed to assess human intelligence.<ref>{{cite journal |last1=Braaten |first1=Ellen B. |last2=Norman |first2=Dennis |title=Intelligence (IQ) Testing |journal=Pediatrics in Review |date=1 November 2006 |volume=27 |issue=11 |pages=403–408 |doi=10.1542/pir.27-11-403 |pmid=17079505 |issn=0191-9601 |url=https://pedsinreview.aappublications.org/content/...")
An '''intelligence quotient''' ('''IQ''') is a total score derived from a set of [[standardised test]]s or subtests designed to assess [[human intelligence]].<ref>{{cite journal |last1=Braaten |first1=Ellen B. |last2=Norman |first2=Dennis |title=Intelligence (IQ) Testing |journal=Pediatrics in Review |date=1 November 2006 |volume=27 |issue=11 |pages=403–408 |doi=10.1542/pir.27-11-403 |pmid=17079505 |issn=0191-9601 |url=https://pedsinreview.aappublications.org/content/27/11/403 |access-date=22 January 2020}}</ref> The abbreviation "IQ" was coined by the [[psychologist]] [[William Stern (psychologist)|William Stern]] for the [[German language|German]] term {{lang|de|Intelligenzquotient}}, his term for a scoring method for [[intelligence]] tests at [[University of Wrocław|University of Breslau]] he advocated in a 1912 book.{{sfn|Stern|1914|pp=70–84 (1914 English translation); pp. 48–58 (1912 original German edition)}}
Historically, IQ was a score obtained by dividing a person's [[mental age]] score, obtained by administering an intelligence test, by the person's chronological age, both expressed in terms of years and months. The resulting fraction ([[quotient]]) was multiplied by 100 to obtain the IQ score.<ref>{{Cite encyclopedia |title=Glossary of Important Assessment and Measurement Terms|publisher=National Council on Measurement in Education |date=2016 |location=Philadelphia, PA |url=http://www.ncme.org/ncme/NCME/Resource_Center/Glossary/NCME/Resource_Center/Glossary1.aspx?hkey=4bb87415-44dc-4088-9ed9-e8515326a061#anchorI |access-date=1 July 2017 |entry=intelligence quotient (IQ) |archive-url=https://web.archive.org/web/20170722194028/http://www.ncme.org/ncme/NCME/Resource_Center/Glossary/NCME/Resource_Center/Glossary1.aspx?hkey=4bb87415-44dc-4088-9ed9-e8515326a061#anchorI |archive-date=22 July 2017|url-status=dead}}</ref> For modern [[Intelligence quotient#Current tests|IQ tests]], the [[test score|raw score]] is [[Data transformation (statistics)|transformed]] to a [[normal distribution]] with mean 100 and [[standard deviation]] 15.<ref name="Gottfredson2009pp31–32" /> This results in approximately two-thirds of the population scoring between IQ 85 and IQ 115 and about 2 percent each above 130 and below 70.<ref name="Neisser97">{{cite journal |last=Neisser |first=Ulrich |title=Rising Scores on Intelligence Tests |journal=American Scientist |volume=85 |issue=5 |pages=440–447 |year=1997 |url=http://www.americanscientist.org/issues/feature/rising-scores-on-intelligence-tests/ |archive-url=https://web.archive.org/web/20161104214157/http://www.americanscientist.org/issues/feature/rising-scores-on-intelligence-tests/99999 |archive-date=4 November 2016 |access-date=1 December 2017 |bibcode=1997AmSci..85..440N}}</ref><ref name="Hunt2011p5" />
An '''intelligence quotient,''' or '''IQ,''' is a score derived from one of several different tests designed to mesasure [[intelligence]]. The term "IQ" comes from the [[German]] term "Intelligenz-Quotient".
Scores from intelligence tests are estimates of intelligence. Unlike, for example, distance and mass, a concrete measure of intelligence cannot be achieved given the abstract nature of the concept of "intelligence".<ref>{{cite book|last1=Haier|first1=Richard|title=The Neuroscience of Intelligence |publisher=Cambridge University Press|isbn=9781107461437|pages=18–19|date=28 December 2016}}</ref> IQ scores have been shown to be associated with such factors as [[Human nutrition|nutrition]],<ref>{{Cite journal |last1=Cusick |first1=Sarah E. |last2=Georgieff |first2=Michael K. |date=1 August 2017 |title=The Role of Nutrition in Brain Development: The Golden Opportunity of the 'First 1000 Days' |journal=The Journal of Pediatrics |volume=175 |pages=16–21 |doi=10.1016/j.jpeds.2016.05.013 |pmc=4981537 |pmid=27266965}}</ref><ref>{{Cite journal|last1=Saloojee|first1=Haroon|last2=Pettifor|first2=John M|date=15 December 2001|title=Iron deficiency and impaired child development|journal=British Medical Journal|volume=323|issue=7326|pages=1377–1378|doi=10.1136/bmj.323.7326.1377|issn=0959-8138|pmc=1121846|pmid=11744547}}</ref><ref>{{Cite journal|last1=Qian|first1=Ming|last2=Wang|first2=Dong|last3=Watkins|first3=William E.|last4=Gebski|first4=Val|last5=Yan|first5=Yu Qin|last6=Li|first6=Mu|last7=Chen|first7=Zu Pei|date=2005|title=The effects of iodine on intelligence in children: a meta-analysis of studies conducted in China|url=https://pubmed.ncbi.nlm.nih.gov/15734706/|journal=Asia Pacific Journal of Clinical Nutrition|volume=14|issue=1|pages=32–42|issn=0964-7058|pmid=15734706}}</ref> parental [[socioeconomic status]],<ref>{{Cite journal|last1=Poh|first1=Bee Koon|last2=Lee|first2=Shoo Thien|last3=Yeo|first3=Giin Shang|last4=Tang|first4=Kean Choon|last5=Noor Afifah|first5=Ab Rahim|last6=Siti Hanisa|first6=Awal|last7=Parikh|first7=Panam|last8=Wong|first8=Jyh Eiin|last9=Ng|first9=Alvin Lai Oon|last10=SEANUTS Study Group|date=13 June 2019|title=Low socioeconomic status and severe obesity are linked to poor cognitive performance in Malaysian children|journal=BMC Public Health|volume=19|issue=Suppl 4|pages=541|doi=10.1186/s12889-019-6856-4|issn=1471-2458|pmc=6565598|pmid=31196019 |doi-access=free }}</ref><ref>{{Cite journal|last1=Galván|first1=Marcos|last2=Uauy|first2=Ricardo|last3=Corvalán|first3=Camila|last4=López-Rodríguez|first4=Guadalupe|last5=Kain|first5=Juliana|date=September 2013|title=Determinants of cognitive development of low SES children in Chile: a post-transitional country with rising childhood obesity rates|url=https://pubmed.ncbi.nlm.nih.gov/22915146/|journal=Maternal and Child Health Journal|volume=17|issue=7|pages=1243–1251|doi=10.1007/s10995-012-1121-9|issn=1573-6628|pmid=22915146|s2cid=19767926}}</ref> [[disease#Morbidity|morbidity]] and [[mortality rate|mortality]],<ref>{{cite journal |author1=Markus Jokela |author2=G. David Batty |author3=Ian J. Deary |author4=Catharine R. Gale |author5=Mika Kivimäki |year=2009 |title=Low Childhood IQ and Early Adult Mortality: The Role of Explanatory Factors in the 1958 British Birth Cohort |journal=Pediatrics |volume=124 |issue=3 |pages=e380 – e388 |doi=10.1542/peds.2009-0334 |pmid=19706576 |s2cid=25256969}}</ref>{{sfn|Deary|Batty|2007}} parental [[social status]],{{sfn|Neisser et al.|1995}} and [[prenatal and perinatal psychology|perinatal environment]].<ref>{{Cite journal|last1=Ronfani|first1=Luca|last2=Vecchi Brumatti|first2=Liza|last3=Mariuz|first3=Marika|last4=Tognin|first4=Veronica|date=2015|title=The Complex Interaction between Home Environment, Socioeconomic Status, Maternal IQ and Early Child Neurocognitive Development: A Multivariate Analysis of Data Collected in a Newborn Cohort Study|journal=PLOS ONE|volume=10|issue=5|pages=e0127052|doi=10.1371/journal.pone.0127052|pmid=25996934|pmc=4440732|bibcode=2015PLoSO..1027052R|doi-access=free}}</ref> While the [[heritability of IQ]] has been investigated for nearly a century, there is still debate about the significance of heritability estimates<ref>{{cite journal |last1=Johnson |first1=Wendy |last2=Turkheimer |first2=Eric |last3=Gottesman |first3=Irving I. |last4=Bouchard |first4=Thomas J. |title=Beyond Heritability |journal=Current Directions in Psychological Science |date=August 2009 |volume=18 |issue=4 |pages=217–220 |doi=10.1111/j.1467-8721.2009.01639.x |pmid=20625474 |pmc=2899491}}</ref>{{sfn|Turkheimer|2008}} and the mechanisms of inheritance.<ref name=Devlin97>{{cite journal |pages=468–71 |issue=6641 |volume=388 |year=1997 |pmid=9242404 |journal=Nature |doi=10.1038/41319 |last1=Devlin |first1=B. |last2=Daniels |first2=Michael |last3=Roeder |first3=Kathryn |author3-link= Kathryn Roeder |title=The heritability of IQ |bibcode=1997Natur.388..468D |s2cid=4313884|doi-access=free }}</ref>
IQ scores are used for educational placement, assessment of [[intellectual disability]], and evaluating job applicants. In research contexts, they have been studied as predictors of [[performance rating (work measurement)|job performance]]<ref name="Schmidt98"/> and [[income]].<ref name="Strenze2007"/> They are also used to study distributions of psychometric intelligence in populations and the [[correlation and dependence|correlations]] between it and other variables. Raw scores on IQ tests for many populations have been rising at an average rate that scales to three IQ points per decade since the early 20th century, a phenomenon called the [[Flynn effect]]. Investigation of different patterns of increases in subtest scores can also inform current research on human intelligence.
==History==
==History==
{{see also|History of the race and intelligence controversy}}
Modern mental testing began in France in the nineteenth century. It contributed to separating [[mental retardation]] from mental illness and reducing the neglect, torture, and ridicule heaped on both groups.<ref name=IQT>IQ Testing 101, Alan S. Kaufman, 2009, Springer Publishing Company, ISBN 0826106293 ISBN 9780826106292</ref>
===Precursors to IQ testing===
[[Francis Galton]], half-cousin to [[Charles Darwin]], created the terms [[psychometrics]] and [[eugenics]], and a method for measuring intelligence based on nonverbal sensory-motor tests. It was initially popular, but was abandoned after the discovery that it had no relationship to outcomes such as college grades.<ref name=IQT/><ref>{{cite journal |last1=Gillham |first1=Nicholas W. |title=Sir Francis Galton and the birth of eugenics |journal=Annual Review of Genetics |volume=35 |issue=1 |pages=83–101 |year=2001 |pmid=11700278 |doi=10.1146/annurev.genet.35.102401.090055}}</ref>
Historically, even before IQ tests were devised, there were attempts to classify people into [[Human intelligence|intelligence]] categories by observing their behavior in daily life.<ref name="TermanOldClasses" /><ref name="WechslerOldClasses" /> Those other forms of behavioral observation are still important for validating classifications based primarily on IQ test scores. Both intelligence classification by observation of behavior outside the testing room and classification by IQ testing depend on the definition of "intelligence" used in a particular case and on the [[Reliability (psychometrics)|reliability]] and error of estimation in the classification procedure.
The English statistician [[Francis Galton]] (1822–1911) made the first attempt at creating a standardized test for rating a person's intelligence. A pioneer of [[psychometrics]] and the application of statistical methods to the study of human diversity and the study of inheritance of human traits, he believed that intelligence was largely a product of heredity (by which he did not mean [[History of genetics#Post-Mendel, pre-re-discovery|genes]], although he did develop several [[Mendelian inheritance|pre-Mendelian]] theories of particulate inheritance).<ref>{{cite journal |last1=Bulmer |first1=M |year=1999 |title=The development of Francis Galton's ideas on the mechanism of heredity |journal=Journal of the History of Biology |volume=32 |issue=3 |pages=263–292 | doi = 10.1023/a:1004608217247 |pmid=11624207 |s2cid=10451997}}</ref><ref>{{cite journal |last1=Cowan |first1=R. S. |year=1972 |title=Francis Galton's contribution to genetics |journal=Journal of the History of Biology |volume=5 |issue=2 |pages=389–412 |doi=10.1007/bf00346665|pmid=11610126 |s2cid=30206332}}</ref><ref>{{cite journal |last1=Burbridge |first1=D |year=2001 |title=Francis Galton on twins, heredity and social class |journal=British Journal for the History of Science |volume=34 |issue=3 |pages=323–340 |doi=10.1017/s0007087401004332|pmid=11700679}}</ref> He hypothesized that there should exist a correlation between intelligence and other observable traits such as [[reflex]]es, muscle grip, and [[Craniometry#Bertillon, Galton and criminology|head size]].<ref>{{cite journal |last1=Fancher |first1=R. E. |year=1983 |title=Biographical origins of Francis Galton's psychology |journal=Isis |volume=74 |issue=2 |pages=227–233 |doi=10.1086/353245|pmid=6347965|s2cid=40565053 }}</ref> He set up the first mental testing center in the world in 1882 and he published "Inquiries into Human Faculty and Its Development" in 1883, in which he set out his theories. After gathering data on a variety of physical variables, he was unable to show any such correlation, and he eventually abandoned this research.<ref name="Kaufman2009p21" /><ref>{{cite journal |last1=Gillham |first1=Nicholas W. |title=Sir Francis Galton and the birth of eugenics |journal=Annual Review of Genetics |volume=35 |issue=1 |pages=83–101 |year=2001 |pmid=11700278 |doi=10.1146/annurev.genet.35.102401.090055}}</ref>
[[Alfred Binet]], together with co-workers, after about 15 years of development, published the first IQ test in 1905, which focused on verbal abilities. It was intended to identify mental retardation in school children. <ref name=IQT/>
[[File:Alfred Binet.jpg|thumb|upright|Psychologist [[Alfred Binet]], co-developer of the [[Stanford–Binet Intelligence Scales|Stanford–Binet test]]]]
French psychologist [[Alfred Binet]], together with Victor Henri and [[Théodore Simon]], had more success in 1905, when they published the [[Stanford–Binet Intelligence Scales|Binet–Simon test]], which focused on verbal abilities. It was intended to identify "mental retardation" in school children,<ref name=Kaufman2009/> but in specific contradistinction to claims made by psychiatrists that these children were "sick" (not "slow") and should therefore be removed from school and cared for in asylums.<ref>{{cite journal |last1=Nicolas |first1=S. |last2=Andrieu |first2=B. |last3=Croizet |first3=J.-C. |last4=Sanitioso |first4=R. B. |last5=Burman |first5=J. T. |year=2013 |title=Sick? Or slow? On the origins of intelligence as a psychological object |journal=Intelligence |volume=41 |issue=5 |pages=699–711 |doi=10.1016/j.intell.2013.08.006 |doi-access=free}} (This is an [[open access]] article, made freely available by [[Elsevier]].)</ref> The score on the Binet–Simon scale would reveal the child's [[mental age]]. For example, a six-year-old child who passed all the tasks usually passed by six-year-olds—but nothing beyond—would have a mental age that matched his chronological age, 6.0. (Fancher, 1985). Binet thought that intelligence was multifaceted, but came under the control of practical judgment.
In Binet's view, there were limitations with the scale and he stressed what he saw as the remarkable diversity of intelligence and the subsequent need to study it using qualitative, as opposed to quantitative, measures (White, 2000). American psychologist [[Henry H. Goddard]] published a translation of it in 1910. American psychologist [[Lewis Terman]] at [[Stanford University]] revised the Binet–Simon scale, which resulted in the [[Stanford–Binet Intelligence Scales]] (1916). It became the most popular test in the United States for decades.<ref name=Kaufman2009/>{{sfn|Terman et al.|1915}}<ref>{{cite journal |last1=Wallin |first1=J. E. W. |title=The new clinical psychology and the psycho-clinicist |journal=Journal of Educational Psychology |volume=2 |issue=3 |pages=121–32 |year=1911 |doi=10.1037/h0075544 |url=https://zenodo.org/record/1429171}}</ref><ref>{{cite journal |last1=Richardson |first1=John T. E. |title=Howard Andrew Knox and the origins of performance testing on Ellis Island, 1912-1916 |journal=History of Psychology |volume=6 |issue=2 |pages=143–70 |year=2003 |pmid=12822554 |doi=10.1037/1093-4510.6.2.143}}</ref>
During [[World War I]], tests were needed for evaluating and assigning draftees. This caused a rapid development of several mental tests. Nonverbal or "Performance" tests were developed for those who could not speak English or were suspected of malingering.<ref name=IQT/>
===General factor (''g'')===
IQ tests soon after their creation become widely used for both research and practical applications, such as diagnosing mental retardation and for evaluation of job applicants. Many achievement or aptitude tests, such as those used for gaining admission to higher education, correlate highly with IQ tests. IQ tests have also been highly controversial due to observed group differences, such as between races, as well as the use of IQ tests results in debates regarding issues such as [[eugenics]] and [[immigration]].
{{main|g factor (psychometrics)|l1=''g'' factor}}
The many different kinds of IQ tests include a wide variety of item content. Some test items are visual, while many are verbal. Test items vary from being based on abstract-reasoning problems to concentrating on arithmetic, vocabulary, or general knowledge.
The British psychologist [[Charles Spearman]] in 1904 made the first formal [[factor analysis]] of [[correlation]]s between the tests. He observed that children's school grades across seemingly unrelated school subjects were positively correlated, and reasoned that these correlations reflected the influence of an underlying general mental ability that entered into performance on all kinds of mental tests. He suggested that all mental performance could be conceptualized in terms of a single general ability factor and a large number of narrow task-specific ability factors. Spearman named it ''g'' for "general factor" and labeled the specific factors or abilities for specific tasks ''s''.{{sfn|Deary|2001|pp=6–12}} In any collection of test items that make up an IQ test, the score that best measures ''g'' is the composite score that has the highest correlations with all the item scores. Typically, the "''g''-loaded" composite score of an IQ test battery appears to involve a common strength in abstract reasoning across the test's item content.{{Citation needed|date=June 2020}}
==Mental age vs. modern method ==
The term "IQ" comes from [[German]] "Intelligenz-Quotient", coined by the German psychologist [[William Stern (psychologist)|William Stern]] in 1912, who proposed a method of scoring children's intelligence tests. He calculated the IQ score as the [[quotient]] of the "mental age" (the age group which scored such a result on average) of the test-taker and the "chronological age" of the test-taker, multiplied by 100. This method has several problems such as not working for adults.
===United States military selection in World War I===
Modern tests therefore use a different procedure. When an IQ test is constructed, a [[standardization]] sample representative of the general population takes the test. The median result is defined to be equivalent to 100 IQ points. In almost all modern tests, a [[standard deviation]] of the results is defined to be equivalent to 15 IQ points. When a subject takes an IQ test, the result is compared to the results of the standardization sample and the subject is given an IQ score equal to those with the same test result in the standardization sample. Although the term "IQ" is still in common use, it is now an inaccurate description, mathematically speaking, since a quotient is no longer involved.
During World War I, the Army needed a way to evaluate and assign recruits to appropriate tasks. This led to the development of several mental tests by [[Robert Yerkes]], who worked with major hereditarians of American psychometrics—including Terman, Goddard—to write the test.<ref name=Gould>{{harvnb|Gould|1996}}</ref> The testing generated controversy and much public debate in the United States. Nonverbal or "performance" tests were developed for those who could not speak English or were suspected of malingering.<ref name=Kaufman2009/> Based on Goddard's translation of the Binet–Simon test, the tests had an impact in screening men for officer training:
<blockquote>...the tests did have a strong impact in some areas, particularly in screening men for officer training. At the start of the war, the army and national guard maintained nine thousand officers. By the end, two hundred thousand officers presided, and two- thirds of them had started their careers in training camps where the tests were applied. In some camps, no man scoring below C could be considered for officer training.<ref name=Gould/></blockquote>
The values of 100 and 15 were chosen in order to get scores somewhat similar to those in the older type of test. Likely as a part of the rivalry between the Binet and the Wechsler IQ tests, the Binet test until 2003 chose to have 16 for one SD, causing considerable confusion. Today almost all tests use 15 for one SD. Modern scores are sometimes referred to as "deviation IQs", while the older method age-specific scores are referred to as "ratio IQs".<ref name=IQT/>
In total 1.75 million men were tested, making the results the first mass-produced written tests of intelligence, though considered dubious and non-usable, for reasons including high variability of test implementation throughout different camps and questions testing for familiarity with American culture rather than intelligence.<ref name=Gould/> After the war, positive publicity promoted by army psychologists helped to make psychology a respected field.<ref>{{cite book |first1=Carrie H. |last1=Kennedy |first2=Jeffrey A. |last2=McNeil |editor1-first=Carrie H. |editor1-last=Kennedy |editor2-first=Eric |editor2-last=Zillmer |year=2006 |chapter=A history of military psychology |chapter-url= https://books.google.com/books?id=rytCzdXGgXkC&pg=PA1 |title=Military Psychology: Clinical and Operational Applications |pages=1–17 |location= New York |publisher=Guilford Press |isbn=978-1-57230-724-7}}</ref> Subsequently, there was an increase in jobs and funding in psychology in the United States.<ref>{{cite journal |last1=Katzell |first1=Raymond A. |last2=Austin |first2=James T. |year=1992 |title=From then to now: The development of industrial-organizational psychology in the United States |journal=Journal of Applied Psychology |volume=77 |issue=6 |pages=803–35 |doi=10.1037/0021-9010.77.6.803}}</ref> Group intelligence tests were developed and became widely used in schools and industry.<ref name="Kevles, D. J. 1968">{{cite journal |last1=Kevles |first1=D. J. |title=Testing the Army's Intelligence: Psychologists and the Military in World War I |journal=The Journal of American History |volume=55 |issue=3 |pages=565–81 |year=1968 |doi=10.2307/1891014 |jstor=1891014}}</ref>
==Modern tests==
[[File:IQ curve.svg|thumb|Graph showing the distribution of IQ in a population. The different colors represent 15 IQ points or 1 standard deviation.]]
Approximately 95% of the population have scores within two [[standard deviation]]s (SD) of the average result of 100. If one SD is 15 points, as is common in almost all modern tests, then 95% of the population are within a range of 70 to 130. Alternatively, two-thirds of the population have IQ scores within one SD of the mean, i.e. within the range 85-115.
The results of these tests, which at the time reaffirmed contemporary racism and nationalism, are considered controversial and dubious, having rested on certain contested assumptions: that intelligence was heritable, innate, and could be relegated to a single number, the tests were enacted systematically, and test questions actually tested for innate intelligence rather than subsuming environmental factors.<ref name=Gould/> The tests also allowed for the bolstering of [[Jingoism|jingoist narratives]] in the context of increased immigration, which may have influenced the passing of the [[Immigration Act of 1924|Immigration Restriction Act of 1924]].<ref name=Gould/>
IQ scales are [[ordinally scaled]]. While one standard deviation is 15 points, and two SDs are 30 points, and so on, this does not imply that cognitive ability is linearly related to IQ, such that IQ 50 means half the cognitive ability of IQ 100. In particular, IQ points are not percentage points.
[[Louis Leon Thurstone|L.L. Thurstone]] argued for a model of intelligence that included seven unrelated factors (verbal comprehension, word fluency, number facility, spatial visualization, associative memory, perceptual speed, reasoning, and induction). While not widely used, Thurstone's model influenced later theories.<ref name=Kaufman2009/>
==Reliability and validity==
IQ tests are generally regarded as having high statistical [[Reliability (statistics)|reliability]]. A high reliability implies that while test-takers can have varying scores on differing occasions when taking the same test and can vary in scores on different IQ tests taken at the same age, the scores generally agree. A test-taker's score on any one IQ test is surrounded by an error band that shows, to a specified degree of confidence, what the test-taker's true score is likely to be. For modern tests, the [[standard error of measurement]] is about 3 points, or in other words, the odds are about 2 out of 3 that a person's true IQ is in range from 3 points above to 3 points below the test IQ. Another description is that there is a 95% chance that the true IQ is in range from 4-5 points above to 4-5 points below the test IQ, depending on the test in question. Clinical psychologists generally regard them as having sufficient statistical [[Validity (statistics)|validity]] for many clinical purposes.<ref name=IQT/><ref>{{Cite book|title=Measuring intelligence: A guide to the administration of the new revised Stanford-Binet tests of intelligence |last1=Terman |first1=Lewis Madison |last2=Merrill |first2=MaudeA. |authorlink1=Lewis Terman |year=1937 |publisher=Houghton Mifflin |location=Boston (MA) |series=Riverside textbooks in education |page=44 |ref=harv }}</ref><ref>{{Cite book|last1=Anastasi |first1=Anne |last2=Urbina |first2=Susana |authorlink1=Anne Anastasi |authorlink2=Susana Urbina |title=Psychological Testing |edition=Seventh |location=Upper Saddle River (NJ) |publisher=Prentice Hall |isbn=978-0023030857 |year=1997 |pages=326–327|laysummary=http://www.pearsonhighered.com/educator/product/Psychological-Testing-7E/9780023030857.page |laydate=28 July 2010 |ref=harv }}</ref>
[[David Wechsler]] produced the first version of his test in 1939. It gradually became more popular and overtook the Stanford–Binet in the 1960s. It has been revised several times, as is common for IQ tests, to incorporate new research. One explanation is that psychologists and educators wanted more information than the single score from the Binet. Wechsler's ten or more subtests provided this. Another is that the Stanford–Binet test reflected mostly verbal abilities, while the Wechsler test also reflected nonverbal abilities. The Stanford–Binet has also been revised several times and is now similar to the Wechsler in several aspects, but the Wechsler continues to be the most popular test in the United States.<ref name=Kaufman2009/>
== The general intelligence factor (''g'') ==
[[File:RavenMatrix.gif|thumb|Test item similar to the items in the IQ test "Raven's Progressive Matrices". The person tested should indicate what figure is missing in the lower right corner. The test is not dependent on language, which is usually considered an advantage.]]
Non-IQ psychometric tests are primarily not intended to measure intelligence itself, but some closely related construct, such as scholastic aptitude. In the United States, examples include the [[Secondary School Admission Test|SSAT]], the [[SAT]], the [[ACT (test)|ACT]], the [[GRE]], the [[MCAT]], the [[LSAT]], and the [[GMAT]].<ref name=Neisser95>{{Cite web|url=http://www.gifted.uconn.edu/siegle/research/correlation/intelligence.pdf|title=Intelligence: Knowns and Unknowns|date=February, 1996|author=Neisser ''et al.''|publisher=Board of Scientific Affairs of the American Psychological Association}}</ref>
===IQ testing and the eugenics movement in the United States===
There are many different kinds of IQ and non-IQ psychometric tests, using a wide variety of methods. Some tests are visual, some are verbal, some tests only use of abstract-reasoning problems, and some tests concentrate on arithmetic, spatial imagery, reading, vocabulary, memory or general knowledge. A person doing well on one test tends to do well on the other tests. Thus, the test results are correlated with one another. The psychologist [[Charles Spearman]] made the first formal [[factor analysis]] of [[correlation]]s between the tests in the early 20th century. He found that a single common factor explained for the positive correlations among tests. He called this factor ''g'', for "general intelligence", "general mental ability", or "general intelligence factor". In addition, there are also smaller, specific factors or abilities for specific areas, labeled ''s''. This is a theory still accepted in principle by many psychometricians. In any collections of IQ tests, by definition the test that best measures ''g'' is the one that has the highest correlations with all the others. Most of these "g-loaded" tests typically involve some form of abstract reasoning. Therefore, Spearman and others have regarded ''g'' as the perhaps genetically determined real essence of intelligence. This is still a common, but not definitely proven, theory. Other factor analyses of the data with different results are possible. Some psychometricians regard ''g'' as a statistical artifact. The accepted best measure of ''g'' is [[Raven's Progressive Matrices]], which is a test of visual reasoning.<ref name="Neisser97">{{cite journal |author=Neisser U |title=Rising Scores on Intelligence Tests |journal=American Scientist |volume=85 |pages=440–7 |year=1997 |url=http://www.americanscientist.org/issues/feature/rising-scores-on-intelligence-tests/1}}</ref><ref name="Neisser97"/>
[[Eugenics]], a set of beliefs and practices aimed at improving the [[genetics|genetic]] quality of the [[human population]] by excluding people and groups judged to be inferior and promoting those judged to be superior,<ref name="Spektorowski">{{cite book|last1=Spektorowski|first1=Alberto|url=https://books.google.com/books?id=zdkdAAAAQBAJ&q=Historically,+the+term+has+referred+to+everything+from+prenatal+care+for+mothers+to+forced+sterilization+and+euthanasia&pg=PA24|title=Politics of Eugenics: Productionism, Population, and National Welfare|last2=Ireni-Saban|first2=Liza|date=2013|publisher=Routledge|isbn=978-0-203-74023-1|location=London|page=24|quote=As an applied science, thus, the practice of eugenics referred to everything from prenatal care for mothers to forced sterilization and euthanasia. Galton divided the practice of eugenics into two types—positive and negative—both aimed at improving the human race through selective breeding.|access-date=16 January 2017}}</ref><ref>{{cite web|date=26 September 2010|title=Eugenics|url=http://ghr.nlm.nih.gov/glossary=eugenics|work=Unified Medical Language System (Psychological Index Terms)|publisher=National Library of Medicine}}</ref><ref name="Galton1904">{{cite journal|author=Galton, Francis|author-link=Francis Galton|date=July 1904|title=Eugenics: Its Definition, Scope, and Aims|url=http://www.mugu.com/galton/essays/1900-1911/galton-1904-am-journ-soc-eugenics-scope-aims.htm|journal=The American Journal of Sociology|volume=X|issue=1|pages=82, 1st paragraph|bibcode=1904Natur..70...82.|doi=10.1038/070082a0|archive-url=https://web.archive.org/web/20071103082723/http://galton.org/essays/1900-1911/galton-1904-am-journ-soc-eugenics-scope-aims.htm|archive-date=3 November 2007|access-date=27 December 2010|quote=Eugenics is the science which deals with all influences that improve the inborn qualities of a race; also with those that develop them to the utmost advantage.|doi-access=free}}</ref> played a significant role in the history and culture of the [[United States]] during the [[Progressive Era]], from the late 19th century until US involvement in [[World War II]].<ref name="SusanCurrell">{{cite book|author1=Susan Currell|author2=[[Christina Cogdell]]|title=Popular Eugenics: National Efficiency and American Mass Culture in the 1930s|url=https://books.google.com/books?id=WRL6MbBO024C&pg=PA86|year=2006|publisher=Ohio University Press|isbn=978-0-8214-1691-4|pages=2–3}}</ref><ref>{{Cite web|url=http://www.princeton.edu/~tleonard/papers/retrospectives.pdf|title=Eugenics and Economics in the Progressive Era|language=en}}</ref>
The [[Eugenics in the United States|American eugenics movement]] was rooted in the [[Biological determinism|biological determinist]] ideas of the British Scientist [[Sir Francis Galton]]. In 1883, Galton first used the word eugenics to describe the biological improvement of human genes and the concept of being "well-born".<ref>{{Cite web|url=http://exhibits.hsl.virginia.edu/eugenics/2-origins/|title=Origins of Eugenics: From Sir Francis Galton to Virginia's Racial Integrity Act of 1924|website=University of Virginia: Historical Collections at the Claude Moore Health Sciences Library|access-date=25 October 2019}}</ref><ref>{{Cite journal|last=Norrgard|first=K.|date=2008|title=Human testing, the eugenics movement, and IRBs|journal=Nature Education|volume=1|pages=170}}</ref> He believed that differences in a person's ability were acquired primarily through genetics and that eugenics could be implemented through [[selective breeding]] in order for the human race to improve in its overall quality, therefore allowing for humans to direct their own evolution.<ref>{{Cite web|url=http://galton.org/books/hereditary-genius/text/pdf/galton-1869-genius-v3.pdf|title=Hereditary Genius|last=Galton|first=Francis|date=1869|page=64|access-date=1 October 2019}}</ref>
An alternative interpretation of the high correlations between IQ and non-IQ psychometric tests is the "mutualism model". It argues that intelligence depends on several independent mechanisms, none of which influences performance on all cognitive tests. These mechanisms support each other so that efficient operation of one of them makes efficient operation of the others more likely, thereby creating the positive correlations.<ref>{{cite journal|last=van der Maas|first=H. L. J.|coauthors=Dolan, C. V.; Grasman, R. P. P. P.; Wicherts, J. M.; Huizenga, H. M.; Raijmakers, M. E. J.|title=A dynamical model of general intelligence: The positive manifold of intelligence by mutualism|journal=Psychological Review|year=2006|volume=113|pages=842–861|doi=10.1037/0033-295X.113.4.842|pmid=17014305|issue=4}}</ref>
[[Henry H. Goddard]] was a eugenicist. In 1908, he published his own version, ''The Binet and Simon Test of Intellectual Capacity'', and cordially promoted the test. He quickly extended the use of the scale to the public schools (1913), to immigration ([[Ellis Island]], 1914) and to a court of law (1914).<ref name=":3">{{Cite web|url=http://www.apa.org/monitor/2009/01/assessment.aspx|title=The birth of American intelligence testing|access-date=11 November 2017}}</ref>
== Cattell-Horn-Carroll theory ==
Many of the broad, recent IQ tests have been greatly influenced by the [[Cattell-Horn-Carroll theory]]. It is argued to reflect much of what is known about intelligence from research. A hierarchy of factors is used. ''g'' is at the top. Under it, there are 10 broad abilities, that in turn are subdivided into 70 narrow abilities. The broad abilities are: <ref name=IQT/>
*[[Fluid Intelligence]] (Gf): includes the broad ability to reason, form concepts, and solve problems using unfamiliar information or novel procedures.
*[[Crystallized Intelligence]] (Gc): includes the breadth and depth of a person's acquired knowledge, the ability to communicate one's knowledge, and the ability to reason using previously learned experiences or procedures.
*Quantitative Reasoning (Gq): the ability to comprehend quantitative concepts and relationships and to manipulate numerical symbols.
*Reading & Writing Ability (Grw): includes basic reading and writing skills.
*Short-Term Memory (Gsm): is the ability to apprehend and hold information in immediate awareness and then use it within a few seconds.
*Long-Term Storage and Retrieval (Glr): is the ability to store information and fluently retrieve it later in the process of thinking.
*Visual Processing (Gv): is the ability to perceive, analyze, synthesize, and think with visual patterns, including the ability to store and recall visual representations.
*Auditory Processing (Ga): is the ability to analyze, synthesize, and discriminate auditory stimuli, including the ability to process and discriminate speech sounds that may be presented under distorted conditions.
*Processing Speed (Gs): is the ability to perform automatic cognitive tasks, particularly when measured under pressure to maintain focused attention.
*Decision/[[Reaction Time]]/Speed (Gt): reflect the immediacy with which an individual can react to stimuli or a task (typically measured in seconds or fractions of seconds; not to be confused with Gs, which typically is measured in intervals of 2–3 minutes).
Modern tests do not necessarily measure of all of these broad abilities. For example, Gq and Grw may be seen as measures of school achievement and not IQ.<ref name=IQT/> Gt may be difficult to measure without special equipment.
Unlike Galton, who promoted eugenics through selective breeding for positive traits, Goddard went with the US eugenics movement to eliminate "undesirable" traits.<ref>{{Cite web|url=https://www.nature.com/scitable/forums/genetics-generation/america-s-hidden-history-the-eugenics-movement-123919444|title=America's Hidden History: The Eugenics Movement {{!}} Learn Science at Scitable|website=www.nature.com|language=en|access-date=11 November 2017}}</ref> Goddard used the term "[[feeble-minded]]" to refer to people who did not perform well on the test. He argued that "feeble-mindedness" was caused by heredity, and thus feeble-minded people should be prevented from giving birth, either by institutional isolation or sterilization surgeries.<ref name=":3" /> At first, sterilization targeted the disabled, but was later extended to poor people. Goddard's intelligence test was endorsed by the eugenicists to push for laws for forced sterilization. Different states adopted the sterilization laws at different paces. These laws, whose constitutionality was upheld by the Supreme Court in their 1927 ruling [[Buck v. Bell]], forced over 60,000 people to go through sterilization in the United States.<ref>{{Cite web|url=http://www.eugenicsarchive.org/html/eugenics/essay8text.html|title=Social Origins of Eugenics|website=www.eugenicsarchive.org|access-date=11 November 2017}}</ref>
''g'' was earlier often subdivided into only Gf and Gc, which were thought to correspond to the Nonverbal or Performance subtests and Verbal subtests in earlier versions of the popular Wechsler IQ test. More recent research has shown the situation to be more complex. <ref name=IQT/>
California's sterilization program was so effective that the Nazis turned to the government for advice on how to prevent the birth of the "unfit".<ref name="HARNE">{{Cite web|url=http://hnn.us/article/1796 |title=The Horrifying American Roots of Nazi Eugenics |website=hnn.us |access-date=11 November 2017}}</ref> While the US eugenics movement lost much of its momentum in the 1940s in view of the horrors of Nazi Germany, advocates of eugenics (including Nazi geneticist [[Otmar Freiherr von Verschuer]]) continued to work and promote their ideas in the United States.<ref name="HARNE" /> In later decades, some eugenic principles have made a resurgence as a voluntary means of selective reproduction, with some calling them "[[new eugenics]]".<ref>{{cite journal |last1=Vizcarrondo |first1=Felipe E. |title=Human Enhancement: The New Eugenics |journal=The Linacre Quarterly |date=August 2014 |volume=81 |issue=3 |pages=239–243 |doi=10.1179/2050854914Y.0000000021 |pmid=25249705 |pmc=4135459}}</ref> As it becomes possible to test for and correlate genes with IQ (and its proxies),<ref>{{cite web |last1=Regalado |first1=Antonio |title=Eugenics 2.0: We're at the Dawn of Choosing Embryos by Health, Height, and More |url=https://www.technologyreview.com/s/609204/eugenics-20-were-at-the-dawn-of-choosing-embryos-by-health-height-and-more/ |website=Technology Review |access-date=20 November 2019}}</ref> ethicists and embryonic [[genetic testing]] companies are attempting to understand the ways in which the technology can be ethically deployed.<ref>{{cite web |last1=LeMieux |first1=Julianna |title=Polygenic Risk Scores and Genomic Prediction: Q&A with Stephen Hsu |url=https://www.genengnews.com/insights/polygenic-risk-scores-and-genomic-prediction-qa-with-stephen-hsu/ |website=Genetic Engineering and Biotechnology News |access-date=20 November 2019 |date=1 April 2019}}</ref>
Modern comprehensive IQ tests no longer give a single score. Although they still give an overall score, they now also give scores for many of these more restricted abilities, identifying particular strengths and weaknesses of an individual.<ref name=IQT/>
===Cattell–Horn–Carroll theory===
==Flynn effect==
{{main|Cattell–Horn–Carroll theory}}
{{Main|Flynn effect}}
[[File:Raymond Cattell.jpg|thumb|upright|right|Psychologist [[Raymond Cattell]] defined [[fluid and crystallized intelligence]] and authored the [[Cattell Culture Fair III]] IQ test.]]
[[Raymond Cattell]] (1941) proposed two types of cognitive abilities in a revision of Spearman's concept of general intelligence. [[Fluid intelligence]] (Gf) was hypothesized as the ability to solve novel problems by using reasoning, and [[crystallized intelligence]] (Gc) was hypothesized as a knowledge-based ability that was very dependent on education and experience. In addition, fluid intelligence was hypothesized to decline with age, while crystallized intelligence was largely resistant to the effects of aging. The theory was almost forgotten, but was revived by his student [[John L. Horn]] (1966) who later argued Gf and Gc were only two among several factors, and who eventually identified nine or ten broad abilities. The theory continued to be called Gf-Gc theory.<ref name=Kaufman2009/>
[[John Bissell Carroll|John B. Carroll]] (1993), after a comprehensive reanalysis of earlier data, proposed the [[three stratum theory]], which is a hierarchical model with three levels. The bottom stratum consists of narrow abilities that are highly specialized (e.g., induction, spelling ability). The second stratum consists of broad abilities. Carroll identified eight second-stratum abilities. Carroll accepted Spearman's concept of general intelligence, for the most part, as a representation of the uppermost, third stratum.<ref name=Lubinski2004>{{cite journal |last1=Lubinski |first1=David |title=Introduction to the Special Section on Cognitive Abilities: 100 Years After Spearman's (1904) "'General Intelligence,' Objectively Determined and Measured" |journal=Journal of Personality and Social Psychology |date=2004 |volume=86 |issue=1 |pages=96–111 |doi=10.1037/0022-3514.86.1.96 |pmid=14717630 |s2cid=6024297}}</ref>{{sfn|Carroll|1993|p={{page needed|date=October 2020}}}}
==IQ and age==
IQ can change to some degree over the course of childhood.<ref name=IQT/> However, in one longitudinal study, the mean IQ scores of tests at ages 17 and 18 were correlated at r=.86 with the mean scores of tests at ages 5, 6 and 7 and at r=.96 with the mean scores of tests at ages 11, 12 and 13.<ref name=Neisser95/>
In 1999, a merging of the Gf-Gc theory of Cattell and Horn with Carroll's Three-Stratum theory has led to the Cattell–Horn–Carroll theory (CHC Theory), with ''g'' as the top of the hierarchy, ten broad abilities below, and further subdivided into seventy narrow abilities on the third stratum. CHC Theory has greatly influenced many of the current broad IQ tests.<ref name=Kaufman2009/>
IQ scores for children are relative to children of a similar age. That is, a child of a certain age does not do as well on the tests as an older child or an adult with the same IQ. But relative to persons of a similar age, or other adults in the case of adults, they do equally well if the IQ scores are the same.<ref name=Neisser95/>
Modern tests do not necessarily measure all of these broad abilities. For example, ''quantitative knowledge'' and ''reading & writing ability'' may be seen as measures of school achievement and not IQ.<ref name=Kaufman2009/> ''Decision speed'' may be difficult to measure without special equipment. ''g'' was earlier often subdivided into only Gf and Gc, which were thought to correspond to the nonverbal or performance subtests and verbal subtests in earlier versions of the popular Wechsler IQ test. More recent research has shown the situation to be more complex.<ref name="Kaufman2009" /> Modern comprehensive IQ tests do not stop at reporting a single IQ score. Although they still give an overall score, they now also give scores for many of these more restricted abilities, identifying particular strengths and weaknesses of an individual.<ref name="Kaufman2009" />
IQ is highly stable during life and has been largely resistant to interventions aimed to change it long-term and substantially.<ref name="Sesardic2005"/><ref>Gottfredson. L. S. (2007). Flynn, Ceci, and Turkheimer on race and intelligence: Opening moves. Cato Unbound, November 26.</ref><ref name="RushtonJensen2010"/>
===Other theories===
There have been a variety of studies of IQ and aging since the norming of the first Wechsler Intelligence Scale drew attention to IQ differences in different age groups of adults. Current consensus is that fluid intelligence generally declines with age after early adulthood, while crystallized intelligence remains intact. Both cohort effects (the birth year of the test-takers) and practice effects (test-takers taking the same form of IQ test more than once) must be controlled for to gain accurate data. It is unclear whether any lifestyle intervention can preserve fluid intelligence into older ages.<ref name=IQT/>
An alternative to standard IQ tests, meant to test the [[zone of proximal development|proximal development]] of children, originated in the writings of psychologist [[Lev Vygotsky]] (1896–1934) during his last two years of his life.<ref>{{cite book|last1=Mindes|first1=Gayle|title=Assessing Young Children |date=2003 |publisher= Merrill/Prentice Hall |isbn=9780130929082 |page=158 |url=https://books.google.com/books?id=x41LAAAAYAAJ}}</ref><ref>{{cite book |last1=Haywood|first1=H. Carl |url=https://books.google.com/books?id=xQekS_oqGzoC|title=Dynamic Assessment in Practice: Clinical and Educational Applications |last2=Lidz |first2=Carol S.|date=2006|publisher=Cambridge University Press |isbn=9781139462075 |page=1}}</ref> According to Vygotsky, the maximum level of complexity and difficulty of problems that a child is capable to solve under some guidance indicates their level of potential development. The difference between this level of potential and the lower level of unassisted performance indicates the child's zone of proximal development.<ref>{{cite book |url=http://www.marxists.org/archive/vygotsky/works/1934/problem-age.htm |last=Vygotsky |first=L.S. |year=1934 |chapter=The Problem of Age |title=The Collected Works of L. S. Vygotsky, Volume 5 |publication-date=1998 |pages=187–205}}</ref> Combination of the two indexes{{--}}the level of actual and the zone of the proximal development{{--}}according to Vygotsky, provides a significantly more informative indicator of psychological development than the assessment of the level of actual development alone.<ref>{{cite book |last=Chaiklin |first=S. |year=2003 |chapter=The Zone of Proximal Development in Vygotsky's analysis of learning and instruction |editor-last1=Kozulin |editor-first1=A. |editor-last2=Gindis |editor-first2=B. |editor-last3=Ageyev |editor-first3=V. |editor-last4=Miller |editor-first4=S. |title=Vygotsky's educational theory and practice in cultural context |pages=39–64 |location=Cambridge |publisher=Cambridge University Press}}</ref><ref>{{cite journal |last=Zaretskii |first=V.K. |title=The Zone of Proximal Development What Vygotsky Did Not Have Time to Write |journal=[[Journal of Russian and East European Psychology]] |volume=47 |issue=6 |date=November–December 2009 |pages=70–93|doi=10.2753/RPO1061-0405470604 |s2cid=146894219 }}</ref> His ideas on the zone of development were later developed in a number of psychological and educational theories and practices, most notably under the banner of [[dynamic assessment]], which seeks to measure developmental potential<ref>{{cite journal|last1=Sternberg|first1=R.S. |last2=Grigorenko|first2=E.L.|year=2001|title=All testing is dynamic testing|journal=Issues in Education |volume=7 |issue=2|pages=137–170}}</ref><ref>Sternberg, R.J. & Grigorenko, E.L. (2002). Dynamic testing: The nature and measurement of learning potential. Cambridge: University of Cambridge</ref>{{sfn|Haywood|Lidz |2006|p={{page needed|date=October 2020}}}} (for instance, in the work of [[Reuven Feuerstein]] and his associates,<ref>Feuerstein, R., Feuerstein, S., Falik, L & Rand, Y. (1979; 2002). Dynamic assessments of cognitive modifiability. ICELP Press, Jerusalem: Israel</ref> who has [[Reuven Feuerstein#Difference between IQ test and Dynamic Assessment|criticized standard IQ testing]] for its putative assumption or acceptance of "fixed and immutable" characteristics of intelligence or cognitive functioning). Dynamic assessment has been further elaborated in the work of [[Ann Brown]], and [[John D. Bransford]] and in theories of [[multiple intelligences]] authored by [[Howard Gardner]] and [[Robert Sternberg]].<ref>{{cite book |contributor=Dodge, Kenneth A. |contribution=Foreword |pages=xiii–xv |last1=Haywood |first1=H. Carl |last2=Lidz |first2=Carol S. |title=Dynamic Assessment in Practice: Clinical And Educational Applications |publisher=Cambridge University Press |year=2006}}</ref><ref>{{cite book |last=Kozulin |first=A. |year=2014 |chapter=Dynamic assessment in search of its identity |editor-last1=Yasnitsky |editor-first1=A. |editor-last2=van der Veer |editor-first2=R. |editor-last3=Ferrari |editor-first3=M. |title=The Cambridge Handbook of Cultural-Historical Psychology |publisher=Cambridge University Press |pages=126–147}}</ref>
[[J.P. Guilford]]'s [[J.P. Guilford#Guilford's Structure of Intellect|Structure of Intellect]] (1967) model of intelligence used three dimensions, which, when combined, yielded a total of 120 types of intelligence. It was popular in the 1970s and early 1980s, but faded owing to both practical problems and [[theoretical]] criticisms.<ref name="Kaufman2009" />
The peak of capacity for both fluid intelligence and crystallized intelligence occurs at age 26. This is followed by a slow decline.<ref>{{cite journal |last1=McArdle |first1=John J. |last2=Ferrer-Caja |first2=Emilio |last3=Hamagami |first3=Fumiaki |last4=Woodcock |first4=Richard W. |title=Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span. |journal=Developmental Psychology |volume=38 |issue=1 |pages=115–42 |year=2002 |pmid=11806695 |doi=10.1037/0012-1649.38.1.115}}</ref>
[[Alexander Luria]]'s earlier work on neuropsychological processes led to the PASS theory (1997). It argued that only looking at one general factor was inadequate for researchers and clinicians who worked with learning disabilities, attention disorders, intellectual disability, and interventions for such disabilities. The PASS model covers four kinds of processes (planning process, attention/arousal process, simultaneous processing, and successive processing). The planning processes involve decision making, problem solving, and performing activities and require goal setting and self-monitoring.
==Heritability of IQ==
Environmental and genetic factors play a role in determining IQ. Their relative importance have been the subject of much research and debate.
The attention/arousal process involves selectively attending to a particular stimulus, ignoring distractions, and maintaining vigilance. Simultaneous processing involves the integration of stimuli into a group and requires the observation of relationships. Successive processing involves the integration of stimuli into serial order. The planning and attention/arousal components comes from structures located in the frontal lobe, and the simultaneous and successive processes come from structures located in the posterior region of the cortex.<ref name=Das1975>{{Cite journal |author1=Das, J.P. |author2=Kirby, J. |author3=Jarman, R.F. |year=1975 |title=Simultaneous and successive synthesis: An alternative model for cognitive abilities |journal=Psychological Bulletin |volume=82 |pages=87–103 |doi=10.1037/h0076163}}</ref><ref name=Das2002>{{Cite journal |author=Das, J.P. |year=2000 |title=A better look at intelligence |journal=Current Directions in Psychological Science |volume=11 |pages=28–33 |doi=10.1111/1467-8721.00162|s2cid=146129242}}</ref><ref name= Naglieri1990>{{Cite journal |author1=Naglieri, J.A. |author2=Das, J.P. |year=2002 |title=Planning, attention, simultaneous, and successive cognitive processes as a model for assessment |journal=School Psychology Review |volume=19 |issue=4 |pages=423–442|doi=10.1080/02796015.1990.12087349 }}</ref> It has influenced some recent IQ tests, and been seen as a complement to the Cattell–Horn–Carroll theory described above.<ref name=Kaufman2009/>
===Heritability===
"[[Heritability]]" is defined as the proportion of [[variance]] of a trait that is attributable to genetic factors within a defined population in a specific environment. A heritability of 1 indicates that all variation is genetic in origin and a heritability of 0 indicates that none of the variation is genetic. The heritability figure may change if the balance between genetic and environmental factors change. For example, if the environment becomes more similar for everyone in the group, then genetic factors will determine more of the variation and the heritability figure will increase.<ref name="Sesardic2005">{{cite book|author=Neven Sesardic|title=Making Sense of Heritability|url=http://books.google.com/books?id=3rinSZNZFe0C|date=13 October 2005|publisher=Cambridge University Press|isbn=978-1-139-44567-2}}</ref>
==Current tests==
Heritability can be estimated using twin studies.<ref name="PoldermanBenyamin2015">{{cite journal|last1=Polderman|first1=Tinca J C|last2=Benyamin|first2=Beben|last3=de Leeuw|first3=Christiaan A|last4=Sullivan|first4=Patrick F|last5=van Bochoven|first5=Arjen|last6=Visscher|first6=Peter M|last7=Posthuma|first7=Danielle|title=Meta-analysis of the heritability of human traits based on fifty years of twin studies|journal=Nature Genetics|volume=47|issue=7|year=2015|pages=702–709|issn=1061-4036|doi=10.1038/ng.3285}}</ref><ref name="VisscherMedland2006">{{cite journal|last1=Visscher|first1=Peter M.|last2=Medland|first2=Sarah E.|last3=Ferreira|first3=Manuel A. R.|last4=Morley|first4=Katherine I.|last5=Zhu|first5=Gu|last6=Cornes|first6=Belinda K.|last7=Montgomery|first7=Grant W.|last8=Martin|first8=Nicholas G.|title=Assumption-Free Estimation of Heritability from Genome-Wide Identity-by-Descent Sharing between Full Siblings|journal=PLoS Genetics|volume=2|issue=3|year=2006|pages=e41|issn=1553-7390|doi=10.1371/journal.pgen.0020041}}</ref><ref name="BarnesWright2014">{{cite journal|last1=Barnes|first1=J. C.|last2=Wright|first2=John Paul|last3=Boutwell|first3=Brian B.|last4=Schwartz|first4=Joseph A.|last5=Connolly|first5=Eric J.|last6=Nedelec|first6=Joseph L.|last7=Beaver|first7=Kevin M.|title=DEMONSTRATING THE VALIDITY OF TWIN RESEARCH IN CRIMINOLOGY|journal=Criminology|volume=52|issue=4|year=2014|pages=588–626|issn=00111384|doi=10.1111/1745-9125.12049}}</ref>
[[File:IQ distribution.svg|thumb|upright=1.2|Normalized IQ distribution with mean 100 and standard deviation 15]]
The report "[[Intelligence: Knowns and Unknowns]]" stated that in the United States, heritability has been estimated to be 0.75 in adults and 0.45 in children. Newer estimates indicate that heritability might be as high as 0.80 in adulthood.<ref name="PanizzonVuoksimaa2014">{{cite journal|last1=Panizzon|first1=Matthew S.|last2=Vuoksimaa|first2=Eero|last3=Spoon|first3=Kelly M.|last4=Jacobson|first4=Kristen C.|last5=Lyons|first5=Michael J.|last6=Franz|first6=Carol E.|last7=Xian|first7=Hong|last8=Vasilopoulos|first8=Terrie|last9=Kremen|first9=William S.|title=Genetic and environmental influences on general cognitive ability: Is g a valid latent construct?|journal=Intelligence|volume=43|year=2014|pages=65–76|issn=01602896|doi=10.1016/j.intell.2014.01.008}}</ref><ref name=Bouchard2013/>
There are a variety of individually administered IQ tests in use in the English-speaking world.<ref name="Urbina2011Table2.1" /><ref name="FlanaganHarrison2012chs8-16" /><ref>{{Citation |last1=Stanek |first1=Kevin C. |title=Taxonomies and Compendia of Cognitive Ability and Personality Constructs and Measures Relevant to Industrial, Work and Organizational Psychology |date=2018 |url=http://sk.sagepub.com/reference/the-sage-handbook-of-industrial-work-and-org-psychology-vol1/i3345.xml |work=The SAGE Handbook of Industrial, Work and Organizational Psychology: Personnel Psychology and Employee Performance |pages=366–407 |access-date=2024-01-08 |place=1 Oliver's Yard, 55 City Road London EC1Y 1SP |publisher=SAGE Publications Ltd |doi=10.4135/9781473914940.n14 |isbn=978-1-4462-0721-5 |last2=Ones |first2=Deniz S.}}</ref> The most commonly used individual IQ test series is the [[Wechsler Adult Intelligence Scale|Wechsler Adult Intelligence Scale (WAIS)]] for adults and the [[Wechsler Intelligence Scale for Children]] (WISC) for school-age test-takers. Other commonly used individual IQ tests (some of which do not label their standard scores as "IQ" scores) include the current versions of the [[Stanford–Binet Intelligence Scales]], [[Woodcock–Johnson Tests of Cognitive Abilities]], the [[Kaufman Assessment Battery for Children]], the [[Cognitive Assessment System]], and the [[Differential Ability Scales]].
That heritability increases with age may be due persons with increasing age being increasingly able to choose their own environment. People with a genetically higher IQ may choose more intellectually stimulating environments, which reinforce their already high IQ, while the opposite occurs for people with low IQ.<ref name=Neisser95/> Other researchers have argued for an adult heritability of 0.5.<ref name=IQT/>
There are various other IQ tests, including:
Brain size have in studies had a heritability of 0.5-0.8.<ref name=RA2009/>
# [[Raven's Progressive Matrices]]
# [[Cattell Culture Fair III]]
# [[Reynolds Intellectual Assessment Scales]]
# [[Primary Mental Abilities Test|Thurstone's Primary Mental Abilities]]<ref>{{Cite web|title = Primary Mental Abilities Test {{!}} psychological test|url = https://www.britannica.com/topic/Primary-Mental-Abilities-Test|website = Encyclopædia Britannica|access-date = 26 November 2015}}</ref><ref>{{Cite web|title = Defining and Measuring Psychological Attributes|url = http://homepages.rpi.edu/~verwyc/TESTOH2.htm|website = homepages.rpi.edu|access-date = 26 November 2015|archive-date = 15 October 2018 |archive-url = https://web.archive.org/web/20181015132922/http://homepages.rpi.edu/~verwyc/TESTOH2.htm|url-status = dead}}</ref>
# [[Kaufman Brief Intelligence Test]]<ref>{{Cite journal|title = Test Review: Review of Kaufman Brief Intelligence Test, Second Edition Kaufman, A. S., & Kaufman, N. L. (2004). Kaufman Brief Intelligence Test, Second Edition. Bloomington, MN: Pearson, Inc|journal = Journal of Psychoeducational Assessment|date = 1 April 2010|issn = 0734-2829|pages = 167–174|volume = 28|issue = 2|doi = 10.1177/0734282909348217|first1 = Sherry K.|last1 = Bain|first2 = Kathryn E.|last2 = Jaspers|s2cid = 143961429}}</ref>
# [[Multidimensional Aptitude Battery II]]
# [[Das–Naglieri cognitive assessment system]]
# [[Naglieri Nonverbal Ability Test]]
#[[Wide Range Intelligence Test]]
IQ scales are [[Ordinal scale|ordinally scaled]].<ref>{{cite book|title=Psychology: An Introduction |last=Mussen |first=Paul Henry |year=1973 |publisher=Heath |location=Lexington, MA |isbn=978-0-669-61382-7 |page=[https://archive.org/details/psychologyintrod00muss/page/363 363] |quote=The I.Q. is essentially a rank; there are no true "units" of intellectual ability. |url=https://archive.org/details/psychologyintrod00muss/page/363}}</ref><ref>{{cite book |title=The WISC-III Companion: A Guide to Interpretation and Educational Intervention |last=Truch |first=Steve |year=1993 |publisher=Pro-Ed |location=Austin, TX |isbn=978-0-89079-585-9 |page=35 |quote=An IQ score is not an equal-interval score, as is evident in Table A.4 in the WISC-III manual.}}</ref><ref>{{cite book |title=Measuring Intelligence: Facts and Fallacies |url=https://archive.org/details/measuringintelli00bart |url-access=limited |last=Bartholomew |first=David J. |author-link=D.J. Bartholomew |year=2004 |publisher=Cambridge University Press |location=Cambridge |isbn=978-0-521-54478-8 |quote=When we come to quantities like IQ or g, as we are presently able to measure them, we shall see later that we have an even lower level of measurement—an ordinal level. This means that the numbers we assign to individuals can only be used to rank them—the number tells us where the individual comes in the rank order and nothing else. |page=[https://archive.org/details/measuringintelli00bart/page/n65 50]}}</ref><ref>{{harvnb|Mackintosh|1998|pp=[https://archive.org/details/iqhumanintellige00mack/page/30 30–31]}} "In the jargon of psychological measurement theory, IQ is an ordinal scale, where we are simply rank-ordering people. ... It is not even appropriate to claim that the 10-point difference between IQ scores of 110 and 100 is the same as the 10-point difference between IQs of 160 and 150"</ref><ref>{{cite journal |last=Stevens |first=S. S. |author-link=Stanley Smith Stevens |title=On the Theory of Scales of Measurement |journal=[[Science (journal)|Science]] |volume=103 |issue=2684 |pages=677–680 |year=1946 |pmid=17750512 |doi=10.1126/science.103.2684.677 |bibcode=1946Sci...103..677S |s2cid=4667599}}</ref> The [[Test score|raw score]] of the norming [[Sample (statistics)|sample]] is usually (rank order) [[Data transformation (statistics)|transformed]] to a [[normal distribution]] with mean 100 and [[standard deviation]] 15.<ref name="Gottfredson2009pp31–32" /> While one [[standard deviation]] is 15 points, and two SDs are 30 points, and so on, this does not imply that mental ability is linearly related to IQ, such that IQ 50 would mean half the cognitive ability of IQ 100. In particular, IQ points are not percentage points.
A high heritability of a trait does not mean that environmental effects such as learning are not involved. Vocabulary size, for example, is very substantially heritable (and highly correlated with general intelligence), although every word in an individual's vocabulary is learned. In a society in which plenty of words are available in everyone's environment, especially for individuals who are motivated to seek them out, the number of words that individuals actually learn depends to a considerable extent on their genetic predispositions and thus heritability is high.<ref name=Neisser95/>
==Reliability and validity==
If the environment relevant to a given trait changes in a way that affects all members of the population equally, the mean value of the trait will change without any change in its heritability (because the variation or differences among individuals in the population will stay the same). This has evidently happened for height: the heritability of stature is high, but average heights continue to increase.<ref name=Neisser95/>
{|class="wikitable sortable" style="font-size:small; float:right; text-align:center; margin:0 0 0.5em 1em" summary="Sortable table showing actual I.Q. scores of twelve students on three different I.Q. tests, with students identified by pseudonyms in cited data source."
|+ IQ scores can differ to some degree for the same person on different IQ tests, so a person does not always belong to the same IQ score range each time the person is tested. (IQ score table data and pupil pseudonyms adapted from description of KABC-II norming study cited in {{harvp|Kaufman|2009}}.<ref name="Kaufman2009Fig5.1" /><ref name="KaufmanSB2013Fig3.1" />)
Since heritability increases during childhood and adolescence, one should be cautious drawing conclusions regarding the role of genetics and environment from studies where the participants are not followed until they are adults. Furthermore, there may be differences regarding the effects on ''g'' and on non-g factors, with ''g'' possibly being harder to affect and environmental interventions disproportionately affecting non-''g'' factors.<ref name="RushtonJensen2010">{{cite journal|last1=Rushton|first1=J. Philippe|last2=Jensen|first2=Arthur R.|title=Race and IQ: A Theory-Based Review of the Research in Richard Nisbett's Intelligence and How to Get It|journal=The Open Psychology Journal|volume=3|issue=1|year=2010|pages=9–35|issn=18743501|doi=10.2174/1874350101003010009}}</ref>
Psychometricians generally regard IQ tests as having high [[Reliability (psychometrics)|statistical reliability]].{{sfn|Neisser et al.|1995}}<ref name="Mackintosh2011p169">{{Harvnb |Mackintosh|2011|page=169}} "after the age of 8–10, IQ scores remain relatively stable: the correlation between IQ scores from age 8 to 18 and IQ at age 40 is over 0.70."</ref> Reliability represents the measurement consistency of a test.<ref name="Weiten">{{cite book|vauthors= Weiten W|title=Psychology: Themes and Variations |publisher=[[Cengage Learning]]|year=2016|page=281|isbn=978-1305856127 |url=https://books.google.com/books?id=ALkaCgAAQBAJ&pg=PT331}}</ref> A reliable test produces similar scores upon repetition.<ref name="Weiten"/> On aggregate, IQ tests exhibit high reliability, although test-takers may have varying scores when taking the same test on differing occasions, and may have varying scores when taking different IQ tests at the same age. Like all statistical quantities, any particular estimate of IQ has an associated standard error that measures uncertainty about the estimate. For modern tests, the confidence interval can be approximately 10 points and reported [[standard error of measurement]] can be as low as about three points.<ref>{{cite web |title=WISC-V Interpretive Report Sample |website=Pearson |url=https://images.pearsonclinical.com/images/assets/wisc-v/WISC-VInterpretiveReportSample-1.pdf |access-date=29 September 2020 |pages=18}}</ref> Reported standard error may be an underestimate, as it does not account for all sources of error.<ref>{{cite book |last1=Kaufman |first1=Alan S. |last2=Raiford |first2=Susan Engi |last3=Coalson |first3=Diane L. |year=2016 |title=Intelligent testing with the WISC-V |publisher=Wiley |location=Hoboken, NJ |isbn=978-1-118-58923-6 |pages=683–702 |quote=Reliability estimates in Table 4.1 and standard errors of measurement in Table 4.4 should be considered best-case estimates because they do not consider other major sources of error, such as transient error, administration error, or scoring error (Hanna, Bradley, & Holen, 1981), which influence test scores in clinical assessments. Another factor that must be considered is the extent to which subtest scores reflect portions of true score variance due to a hierarchical general intelligence factor and variance due to specific group factors because these sources of true score variance are conflated.}}</ref>
Outside influences such as low motivation or high anxiety can occasionally lower a person's IQ test score.<ref name="Weiten" /> For individuals with very low scores, the 95% confidence interval may be greater than 40 points, potentially complicating the accuracy of diagnoses of intellectual disability.<ref>{{cite journal |last1=Whitaker |first1=Simon |title=Error in the estimation of intellectual ability in the low range using the WISC-IV and WAIS-III |journal=Personality and Individual Differences |date=April 2010 |volume=48 |issue=5 |pages=517–521 |url=https://www.researchgate.net/publication/222824571 |access-date=22 January 2020 |doi=10.1016/j.paid.2009.11.017}}</ref> By the same token, high IQ scores are also significantly less reliable than those near to the population median.<ref>{{harvnb|Lohman|Foley Nicpon|2012|p={{page needed|date=October 2020}}}}. "The concerns associated with SEMs [standard errors of measurement] are actually substantially worse for scores at the extremes of the distribution, especially when scores approach the maximum possible on a test ... when students answer most of the items correctly. In these cases, errors of measurement for scale scores will increase substantially at the extremes of the distribution. Commonly the SEM is from two to four times larger for very high scores than for scores near the mean (Lord, 1980)."</ref> Reports of IQ scores much higher than 160 are considered dubious.<ref>{{harvnb|Urbina|2011|p=20}} "[Curve-fitting] is just one of the reasons to be suspicious of reported IQ scores much higher than 160"</ref>
===Shared family environment===
There are aspects of environments that family members have in common (for example, characteristics of the home). This shared family environment accounts for 0.25–0.35 of the variation in IQ in childhood. By late adolescence, it is quite low (zero in some studies). There is a similar effect for several other psychological traits. These studies have not looked at the effects of extreme environments, such as in abusive families.<ref name=Neisser95/><ref>{{cite journal |last1=Bouchard Jr |first1=TJ |title=Genetic and environmental influences on adult intelligence and special mental abilities. |journal=Human biology; an international record of research |volume=70 |issue=2 |pages=257–79 |year=1998 |pmid=9549239}}</ref><ref name="Plomin0103">{{cite journal |last1=Plomin |first1=R |last2=Asbury |first2=K |last3=Dunn |first3=J |title=Why are children in the same family so different? Nonshared environment a decade later. |journal=Canadian Journal of Psychiatry |volume=46 |issue=3 |pages=225–33 |year=2001 |pmid=11320676}}</ref><ref>{{harv|Harris|1998}}</ref>
===Validity as a measure of intelligence===
By age 10, genetic variance is larger than shared environmental variance and heritability of IQ reaches an asymptote at about 0.80 at 18-20 years of age and continuing at that level well into adulthood.<ref name="Bouchard2013">{{cite journal|last1=Bouchard|first1=Thomas J.|title=The Wilson Effect: The Increase in Heritability of IQ With Age|journal=Twin Research and Human Genetics|volume=16|issue=05|year=2013|pages=923–930|issn=1832-4274|doi=10.1017/thg.2013.54}}</ref>
Reliability and validity are very different concepts. While reliability reflects reproducibility, validity refers to whether the test measures what it purports to measure.<ref name="Weiten" /> While IQ tests are generally considered to measure some forms of intelligence, they may fail to serve as an accurate measure of broader definitions of [[human intelligence]] inclusive of, for example, [[creativity]] and [[social intelligence]]. For this reason, psychologist Wayne Weiten argues that their [[construct validity]] must be carefully qualified, and not be overstated.<ref name="Weiten" /> According to Weiten, "IQ tests are valid measures of the kind of intelligence necessary to do well in academic work. But if the purpose is to assess intelligence in a broader sense, the validity of IQ tests is questionable."<ref name="Weiten" />
Some scientists have disputed the value of IQ as a measure of intelligence altogether. In ''[[The Mismeasure of Man]]'' (1981, expanded edition 1996), [[Evolutionary biology|evolutionary biologist]] [[Stephen Jay Gould]] compared IQ testing with the now-discredited practice of determining intelligence via [[craniometry]], arguing that both are based on the fallacy of [[Reification (fallacy)|reification]], "our tendency to convert abstract concepts into entities".<ref name="TMoMp24">{{harvnb|Gould|1981|p=24}}. {{harvnb|Gould|1996|p=[https://books.google.com/books?id=WTtTiG4eda0C&pg=PA56 56]}}.</ref> Gould's argument sparked a great deal of debate,<ref name="Kaplan et al">{{cite journal|last1=Kaplan|first1=Jonathan Michael |last2=Pigliucci|first2=Massimo|last3=Banta|first3=Joshua Alexander|year=2015|title=Gould on Morton, Redux: What can the debate reveal about the limits of data? |journal=Studies in History and Philosophy of Biological and Biomedical Sciences |url=http://philpapers.org/archive/KAPGOM.pdf |volume=30|pages=1–10}}</ref><ref>{{Cite journal|last1=Weisberg|first1=Michael|last2=Paul|first2=Diane B.|date=19 April 2016 |title=Morton, Gould, and Bias: A Comment on "The Mismeasure of Science" |journal=PLOS Biology |volume=14 |issue=4 |at=e1002444 |doi=10.1371/journal.pbio.1002444 |issn=1544-9173 |pmc=4836680 |pmid=27092558 |doi-access=free }}</ref> and the book is listed as one of ''[[Discover (magazine)|Discover Magazine]]''{{'}}s "25 Greatest Science Books of All Time".<ref>{{cite magazine |date=7 December 2006 |url=https://www.discovermagazine.com/the-sciences/25-greatest-science-books-of-all-time |title=25 Greatest Science Books of All Time |magazine=Discover}}</ref>
===Non-shared family environment and environment outside the family===
Although parents treat their children differently, such differential treatment explains only a small amount of non-shared environmental influence. One suggestion is that children react differently to the same environment due to different genes. Another influence is the impact of peers and other experiences outside the family.<ref name=Neisser95/><ref name="Plomin0103"/> Accidents and diseases not affecting the family equally are other examples.
Along these same lines, critics such as [[Keith Stanovich]] do not dispute the capacity of IQ test scores to predict some kinds of achievement, but argue that basing a concept of intelligence on IQ test scores alone neglects other important aspects of mental ability.{{sfn|Neisser et al.|1995}}<ref>[[David Brooks (journalist)|Brooks, David]] (14 September 2007). [https://www.nytimes.com/2007/09/14/opinion/14brooks.html "The Waning of I.Q."]. ''[[The New York Times]]''.</ref> [[Robert Sternberg]], another significant critic of IQ as the main measure of human cognitive abilities, argued that reducing the concept of intelligence to the measure of ''g'' does not fully account for the different skills and knowledge types that produce success in human society.<ref>Sternberg, Robert J., and Richard K. Wagner. "The g-ocentric view of intelligence and job performance is wrong." Current directions in psychological science (1993): 1–5.</ref>
Despite these objections, clinical psychologists generally regard IQ scores as having sufficient [[Validity (statistics)|statistical validity]] for many clinical purposes.{{Specify |reason=Quick summary of which clinical purposes it's used for, and ideally some of the limitations. Is this sentence better suited for the reliability section?|date=October 2020}}<ref name="Kaufman2009"/>{{sfn|Anastasi|Urbina|1997|pp=326–327}}
=== Correlations ===
Below are presented correlations between different groups of people demonstrating that IQ scores are more similar for people who are more similar genetically. Note that even the same person tested twice do not get a perfect correlation, but a correlation of 0.95.<ref name=IQT/>
===Test bias or differential item functioning===
Reared/living together
Differential item functioning (DIF), sometimes referred to as measurement bias, is a phenomenon when participants from different groups (e.g. gender, race, disability) with the same [[Latent trait|latent abilities]] give different answers to specific questions on the same IQ test.<ref>Embretson, S. E., Reise, S. P. (2000).''Item Response Theory for Psychologists''. New Jersey: Lawrence Erlbaum.</ref> DIF analysis measures such specific items on a test alongside measuring participants' latent abilities on other similar questions. A consistent different group response to a specific question among similar types of questions can indicate an effect of DIF. It does not count as differential item functioning if both groups have an equally valid chance of giving different responses to the same questions. Such bias can be a result of culture, educational level and other factors that are independent of group traits. DIF is only considered if test-takers from different groups ''with the same underlying [[Latent variable|latent]] ability level'' have a different chance of giving specific responses.<ref name=":1">{{cite journal |last1=Zumbo|first1=B.D. |year=2007|title=Three generations of differential item functioning (DIF) analyses: Considering where it has been, where it is now, and where it is going |journal=Language Assessment Quarterly |volume=4 |issue=2 |pages=223–233|doi=10.1080/15434300701375832|s2cid=17426415}}</ref> Such questions are usually removed in order to make the test equally fair for both groups. Common techniques for analyzing DIF are [[item response theory]] (IRT) based methods, Mantel-Haenszel, and [[logistic regression]].<ref name=":1" />
* Identical twins—Reared together 0.86
* Fraternal twins—Reared together 0.55
* Biological siblings—Reared together 0.47
* Parent-child—Living together 0.42
* Unrelated children—Reared together 0.30
* Adoptive parent–child—Living together 0.19
A 2005 study found that "differential validity in prediction suggests that the [[Wechsler Adult Intelligence Scale|WAIS-R]] test may contain cultural influences that reduce the validity of the WAIS-R as a measure of cognitive ability for Mexican American students,"<ref>{{cite journal|last1=Verney|first1=SP|last2=Granholm |first2=E|last3=Marshall|first3=SP|last4=Malcarne|first4=VL|last5=Saccuzzo|first5=DP|year=2005 |title=Culture-Fair Cognitive Ability Assessment: Information Processing and Psychophysiological Approaches |journal=Assessment|volume=12|issue=3|pages=303–19|doi=10.1177/1073191105276674|pmid=16123251 |s2cid=31024437}}</ref> indicating a weaker positive correlation relative to sampled white students. Other recent studies have questioned the culture-fairness of IQ tests when used in South Africa.<ref>{{cite journal|last1=Shuttleworth-Edwards|first1=Ann|last2=Kemp|first2=Ryan|last3=Rust |first3=Annegret |last4=Muirhead|first4=Joanne|last5=Hartman|first5=Nigel|last6=Radloff|first6=Sarah|year=2004|title=Cross-cultural Effects on IQ Test Performance: AReview and Preliminary Normative Indications on WAIS-III Test Performance |journal=Journal of Clinical and Experimental Neuropsychology|volume=26|issue=7|pages=903–20 |doi=10.1080/13803390490510824 |pmid=15742541 |s2cid=16060622}}</ref><ref>{{cite journal|last1=Cronshaw |first1=Steven F. |last2=Hamilton|first2=Leah K.|last3=Onyura|first3=Betty R. |last4=Winston |first4=Andrew S. |year=2006|title=Case for Non-Biased Intelligence Testing Against Black Africans Has Not Been Made: A Comment on Rushton, Skuy, and Bons (2004)|journal=International Journal of Selection and Assessment |volume=14|issue=3|pages=278–87|doi=10.1111/j.1468-2389.2006.00346.x |s2cid=91179275}}</ref> Standard intelligence tests, such as the Stanford–Binet, are often inappropriate for [[autistic]] children; the alternative of using developmental or adaptive skills measures are relatively poor measures of intelligence in autistic children, and may have resulted in incorrect claims that a majority of autistic children are of low intelligence.<ref>{{cite journal|last1=Edelson|first1=M. G. |year=2006|title=Are the Majority of Children With Autism Mentally Retarded?: A Systematic Evaluation of the Data|journal=Focus on Autism and Other Developmental Disabilities |volume=21|issue=2|pages=66–83 |doi=10.1177/10883576060210020301|s2cid=145809356}}</ref>
Not reared/living together
* Identical twins—Reared apart 0.76
* Fraternal twins—Reared apart 0.35
* Biological siblings—Reared apart 0.24
* Parent-child—Living apart 0.22
===Flynn effect===
===Regression toward the mean===
{{Main|Flynn effect}}
[[Regression towards the mean]] is a statistical phenomenon that occurs when an outcome is determined by many independent factors. If an outcome is extreme, then this occurred because most of the independent factors agreed by chance. This is unlikely to occur again, so the next outcome is likely to be less extreme. If IQ is determined by many factors, genetic and/or environmental, then they must mostly agree in the same direction in order to produce an extreme IQ. The child of a person with an extreme IQ is unlikely to have all the factors agree so similarly, so the child is on average likely to have a less extreme IQ.<ref name=IQT/>
Since the early 20th century, raw scores on IQ tests have increased in most parts of the world.<ref name="Neisser1998">{{Cite book|title=The Rising Curve: Long-Term Gains in IQ and Related Measures |editor-last=Neisser |editor-first=Ulric |display-authors=8 |author1=Ulric Neisser |author2=James R. Flynn |author3=Carmi Schooler |author4=Patricia M. Greenfield |author5=Wendy M. Williams |author6=Marian Sigman |author7=Shannon E. Whaley |author8=Reynaldo Martorell |author9=Richard Lynn |author10=Robert M. Hauser |author11=David W. Grissmer |author12=Stephanie Williamson |author13=Sheila Nataraj Kirby |author14=Mark Berends |author15=Stephen J. Ceci |author16=Tina B. Rosenblum |author17=Matthew Kumpf |author18=Min-Hsiung Huang |author19=Irwin D. Waldman |author20=Samuel H. Preston |author21=John C. Loehlin |year=1998 |publisher=American Psychological Association |location=Washington, DC |isbn=978-1-55798-503-3 |series=APA Science Volume Series |url=https://archive.org/details/risingcurvelongt00neis}}{{Page needed|date=January 2011}}</ref>{{sfn|Mackintosh|1998|p={{Page needed|date=January 2011}}}}{{sfn|Flynn|2009|p={{Page needed|date=January 2011}}}} When a new version of an IQ test is normed, the standard scoring is set so performance at the population median results in a score of IQ 100. The phenomenon of rising raw score performance means if test-takers are scored by a constant standard scoring rule, IQ test scores have been rising at an average rate of around three IQ points per decade. This phenomenon was named the Flynn effect in the book ''[[The Bell Curve]]'' after [[Jim Flynn (academic)|James R. Flynn]], the author who did the most to bring this phenomenon to the attention of psychologists.<ref name="Flynn1984">{{cite journal |last1=Flynn |first1=James R. |title=The mean IQ of Americans: Massive gains 1932 to 1978. |journal=Psychological Bulletin |volume=95 |issue=1 |pages=29–51 |year=1984 |doi=10.1037/0033-2909.95.1.29 |s2cid=51999517}}</ref><ref name="Flynn1987">{{cite journal |last1=Flynn |pages=171–91 |first1=James R. |issue=2 |volume=101 |year=1987 |title=Massive IQ gains in 14 nations: What IQ tests really measure. |doi=10.1037/0033-2909.101.2.171 |journal=Psychological Bulletin}}</ref>
=== Average IQ for parents and children from different occupations ===
Average IQ for different occupations groups and the average IQ of children with two parents from the same occupational group.
Researchers have been exploring the issue of whether the Flynn effect is equally strong on performance of all kinds of IQ test items, whether the effect may have ended in some developed nations, whether there are social subgroup differences in the effect, and what possible causes of the effect might be.<ref>{{Cite book |last1=Zhou |first1=Xiaobin |last2=Grégoire |first2=Jacques |last3=Zhu |first3=Jianjin |title=WAIS-IV Clinical Use and Interpretation: Scientist-Practitioner Perspectives |editor1-last=Weiss |editor1-first=Lawrence G. |editor2-last=Saklofske |editor2-first=Donald H. |editor3-last=Coalson |editor3-first=Diane |editor4-last=Raiford |editor4-first=Susan |chapter=The Flynn Effect and the Wechsler Scales |year=2010 |publisher=Academic Press |location=Amsterdam |series=Practical Resources for the Mental Health Professional |isbn=978-0-12-375035-8}}{{Page needed|date=January 2011}}</ref> A 2011 textbook, ''IQ and Human Intelligence'', by [[Nicholas Mackintosh|N. J. Mackintosh]], noted the Flynn effect demolishes the fears that IQ would be decreased. He also asks whether it represents a real increase in intelligence beyond IQ scores.{{sfn|Mackintosh|2011|pp=25–27}} A 2011 psychology textbook, lead authored by Harvard Psychologist Professor [[Daniel Schacter]], noted that humans' inherited intelligence could be [[dysgenics|going down]] while acquired intelligence goes up.<ref>{{cite book |first1=Daniel L. |last1=Schacter |first2=Daniel T. |last2=Gilbert |first3=Daniel M. |last3=Wegner |title=Psychology|date=2011 |publisher=Palgrave Macmillan |location=Basingstoke |isbn=978-0230579835 |page=384}}</ref>
=== Brain shape ===
People who are more similar genetically also have more similar shaped brains, according a study using modern imaging technology. This was particularly true for the frontal lobes and areas involved in speech. These areas were also associated with intelligence in the study.<ref name=RA2009/>
Research has suggested that the Flynn effect has slowed or reversed course in some Western countries beginning in the late 20th century. The phenomenon has been termed the ''negative Flynn effect''.<ref name=":4">{{Cite journal|last1=Bratsberg|first1=Bernt|last2=Rogeberg|first2=Ole|date=26 June 2018|title=Flynn effect and its reversal are both environmentally caused |journal=Proceedings of the National Academy of Sciences|volume=115 |issue=26|pages=6674–6678|doi=10.1073/pnas.1718793115|pmid=29891660|pmc=6042097|bibcode=2018PNAS..115.6674B |doi-access=free}}</ref> A study of Norwegian military conscripts' test records found that IQ scores have been falling for generations born after the year 1975, and that the underlying cause of both initial increasing and subsequent falling trends appears to be environmental rather than genetic.<ref name=":4" />
==Interventions==
In the middle of the twentieth century, a large number of early childhood intervention programs, such as the [[Head Start]] program, were tried with one expectation being that these would eliminate or substantially reduce various IQ gaps, including the racial IQ gaps. Large initial IQ gains were also found, but the initial enthusiasm declined, as it become apparent that the IQ or achievement tests gains soon faded away as the children grew older. For example, a 1995 review of 36 such early intervention programs found no consistent pattern of lasting effects on IQ or achievement tests. There are a few exceptions, but these have been criticized on various grounds.<ref name=Intervention2003>Jonathan Crane and Mallory Barg. Do Early Childhood Intervention Programs Really Work? Coalition for Evidence-Based Policy. April 2003. http://www.evidencebasedprograms.org/static/pdfs/Do%20Early%20Intervention%20Programs%20Really%20Work7.pdf</ref> It has been speculated that such programs would be more likely to produce long-term IQ gains, if they taught children how to replicate outside the program the kinds of cognitively demanding experiences that may have produced the IQ gains, while they were in the programs.<ref name="DickensFlynn2001">{{cite journal |last1=Dickens |first1=William T. |last2=Flynn |first2=James R. |title=Heritability estimates versus large environmental effects: The IQ paradox resolved. |journal=Psychological Review |volume=108 |issue=2 |pages=346–69 |year=2001 |pmid=11381833 |doi=10.1037/0033-295X.108.2.346}}</ref><ref>{{cite journal |first1=William T. |last1=Dickens |first2=James R.|last2=Flynn |url=http://www.brookings.edu/views/papers/dickens/20020205.pdf |title=The IQ Paradox: Still Resolved |journal=Psychological Review |volume=109 |issue=4 |year=2002}}</ref>
===Age===
Many other interventions have also produced minor gains in IQ, but lasting gains from long-term follow-up of an experimental study is lacking. For example, listening to classical music was found to increase spatial ability in one study. However, this effect is a short term effect and usually lasts no longer than 10 to 15 minutes. This phenomenon was coined the [[Mozart effect]].<ref>{{cite journal | last1 = Rauscher | first1 = Frances H. | last2 = Shaw | first2 = Gorden L. | year = 1995 | title = Listening to Mozart enhances spatial-temporal reasoning: towards a neurophysiological basis | url = | journal = Neuroscience Letters | volume = 185 | issue = | pages = 44–47 }}</ref> Another study found that having received musical training in childhood correlated with higher than average IQ in adults. However, this was not a follow-up of an experimental study, which means that there may be other explanations, such as those who already had a higher IQ being more likely to take and continue with music training.<ref>{{cite journal|last=Schellenberg|first=E. Glenn|title=Music Lessons, Emotional Intelligence, and IQ|journal=Music Perception: An Interdisciplinary Journal|year=2011|month=December|volume=29|issue=2|pages=185-194}}</ref> A newer study strongly suggests that associations between music practice and IQ in the general population are non-causal in nature.<ref name="MosingMadison2015">{{cite journal|last1=Mosing|first1=Miriam A.|last2=Madison|first2=Guy|last3=Pedersen|first3=Nancy L.|last4=Ullén|first4=Fredrik|title=Investigating cognitive transfer within the framework of music practice: genetic pleiotropy rather than causality|journal=Developmental Science|year=2015|pages=n/a–n/a|issn=1363755X|doi=10.1111/desc.12306}}</ref>
IQ can change to some degree over the course of childhood.{{sfn|Kaufman|2009|pp=[https://archive.org/details/iqtestingpsych00phdd/page/n234 220]–222}} In one longitudinal study, the mean IQ scores of tests at ages 17 and 18 were correlated at {{nowrap|1=''r'' = 0.86}} with the mean scores of tests at ages five, six, and seven and at {{nowrap|1=''r'' = 0.96}}{{Explain|date=October 2020|reason=Please provide context to r correlation values. Are 0.86 and 0.96 good? How do they compare with correlation at older ages?}} with the mean scores of tests at ages 11, 12, and 13.{{sfn|Neisser et al.|1995}}
For decades, practitioners' handbooks and textbooks on IQ testing have reported IQ declines with age after the beginning of adulthood. However, later researchers pointed out this phenomenon is related to the [[Flynn effect]] and is in part a [[Cohort (statistics)|cohort]] effect rather than a true aging effect. A variety of studies of IQ and aging have been conducted since the norming of the first Wechsler Intelligence Scale drew attention to IQ differences in different age groups of adults. The current consensus is that [[fluid intelligence]] generally declines with age after early adulthood, while [[crystallized intelligence]] remains intact. Both cohort effects (the birth year of the test-takers) and practice effects (test-takers taking the same form of IQ test more than once) must be controlled to gain accurate data.{{Inconsistent|date=October 2020|reason=Resolve the distinction between IQ (which, by definition, is age-normalized) and intelligence (which IQ attempts to measure) in this section.}} It is unclear whether any lifestyle intervention can preserve fluid intelligence into older ages.{{sfn|Kaufman|2009|loc="Chapter 8"|p={{Page needed|date=January 2011}}}}
==IQ and brain anatomy ==
[[Meta-analysis|Meta-analyses]] and reviews show a correlation between brain size and IQ. A 2009 literature review stated that in 28 samples using modern brain imaging techniques the mean brain size/''g'' correlation was 0.40 (N = 1,389). In 59 samples using external head size measures it was 0.20 (N = 63,405). In 6 studies that corrected for that different IQ subtests measure ''g'' unequally well, the mean correlation was 0.63. Some studies have found the whole brain to be important for ''g'' while others have found the [[frontal lobe]]s to be particularly important. Two studies founds correlations of 0.48 and 0.56 between brain size and the number of [[neuron]]s in the [[cerebral cortex]] (based on counting in representative areas).<ref name="Mcdaniel2005">{{cite journal|last1=Mcdaniel|first1=M|title=Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence|journal=Intelligence|volume=33|issue=4|year=2005|pages=337–346|issn=01602896|doi=10.1016/j.intell.2004.11.005}}</ref><ref name=RA2009><{{cite journal|last1=Rushton|first1=J. Philippe|last2=Ankney|first2=C. Davison|title=Whole Brain Size and General Mental Ability: A Review|journal=International Journal of Neuroscience|volume=119|issue=5|year=2009|pages=692–732|issn=0020-7454|doi=10.1080/00207450802325843}}</ref>
The exact peak age of fluid intelligence or crystallized intelligence remains elusive. Cross-sectional studies usually show that especially fluid intelligence peaks at a relatively young age (often in the early adulthood) while longitudinal data mostly show that intelligence is stable until mid-adulthood or later. Subsequently, intelligence seems to decline slowly.<ref name="DesjardinsWarnke2012">{{cite journal |last1=Desjardins |first1=Richard |last2=Warnke |first2=Arne Jonas |year=2012 |doi=10.1787/5k9csvw87ckh-en |url=http://www.oecd-ilibrary.org/education/ageing-and-skills_5k9csvw87ckh-en |title=Ageing and Skills |journal=OECD Education Working Papers |hdl=10419/57089 |doi-access=free|hdl-access=free }}</ref>
In 2014, a large meta-analysis showed robust and significant positive associations of brain volume and IQ (r = .24) but also states that older studies overestimated the correlation.<ref name="PietschnigPenke2014">{{cite journal|last1=Pietschnig|first1=Jakob|last2=Penke|first2=Lars|last3=Wicherts|first3=Jelte M|last4=Zeiler|first4=Michael|last5=Voracek|first5=Martin|title=Meta-Analysis of Associations Between Human Brain Volume And Intelligence Differences: How Strong Are They and What Do They Mean?|journal=SSRN Electronic Journal|year=2014|issn=1556-5068|doi=10.2139/ssrn.2512128}}</ref>
==Genetics and environment==
A 2009 review stated that the majority of data shows that both [[gray matter]] and [[white matter]] volume correlate with IQ, but the correlation is stronger for gray matter. Increased number of neurons in the gray matter may explain the higher correlation, but not necessarily so since [[glucose]] consumption and intelligence measures correlate negatively, which may mean intelligent individuals use their neurons more efficiently, such as being more efficient in their formation of [[synapse]]s between neurons, which help to create more efficient neural circuitry. The white matter correlation may be due to more [[myelination]] or better control of [[pH]] and thus enhanced neural transmission. For more specific regions, the most frequently replicated positive correlations appear localized in the [[Anatomical terms of location|lateral and medial]] frontal lobe cortex. Positive correlations are also found with volume in many other areas. Cortical thickness may be a better measure than gray matter volume, although this may vary with age, with an initially negative correlation in early childhood becoming positive later. The explanation may again be that more intelligent individuals manage their synapses better. During evolution, not only brain size, but also brain folding has increased, which has increased the surface area. Convolution data may support "The Parieto-Frontal Integration Theory", which see medial cortex structures as particularly important. Volume of the [[corpus callosum]] or subareas were found to be important in several studies, which may be due to more efficient inter-hemispheric information transfer.<ref name="LudersNarr2009">{{cite journal|last1=Luders|first1=Eileen|last2=Narr|first2=Katherine L.|last3=Thompson|first3=Paul M.|last4=Toga|first4=Arthur W.|title=Neuroanatomical correlates of intelligence|journal=Intelligence|volume=37|issue=2|year=2009|pages=156–163|issn=01602896|doi=10.1016/j.intell.2008.07.002}}</ref>
[[Environment (biophysical)|Environmental]] and [[Heredity|genetic]] factors play a role in determining IQ. Their relative importance has been the subject of much research and debate.<ref>{{citation|title=Continuity of Genetic and Environmental Influences on Cognition across the Life Span: A Meta-Analysis of Longitudinal Twin and Adoption Studies|first1=Elliot M|last1=Tucker-Drob|first2=Daniel A|last2=Briley|journal=Psychological Bulletin|year=2014|volume=140|issue=4|pages=949–979|doi=10.1037/a0035893|pmc=4069230|pmid=24611582}}</ref>
===Heritability===
==Health and IQ==
{{See also|Heritability of IQ|Environment and intelligence}}
{{Main|Health and intelligence}}
The general figure for the [[heritability]] of IQ, according to an [[American Psychological Association]] report, is 0.45 for children, and rises to around 0.75 for late adolescents and adults.{{sfn|Neisser et al.|1995}} Heritability measures for [[G factor (psychometrics)|''g'' factor]] in infancy are as low as 0.2, around 0.4 in middle childhood, and as high as 0.9 in adulthood.<ref name="BouchardWilson2013">{{cite journal |last1=Bouchard |first1=Thomas J. |title=The Wilson Effect: The Increase in Heritability of IQ With Age |journal=Twin Research and Human Genetics |date=7 August 2013 |volume=16 |issue=5 |pages=923–930 |doi=10.1017/thg.2013.54 |pmid=23919982 |s2cid=13747480|doi-access=free }}</ref><ref name="PanizzonVuoksimaa2014">{{cite journal |last1=Panizzon |first1=Matthew S. |last2=Vuoksimaa |first2=Eero |last3=Spoon |first3=Kelly M. |last4=Jacobson |first4=Kristen C. |last5=Lyons |first5=Michael J. |last6=Franz |first6=Carol E. |last7=Xian |first7=Hong |last8=Vasilopoulos |first8=Terrie |last9=Kremen |first9=William S. |date=March 2014 |title=Genetic and environmental influences on general cognitive ability: Is ''g'' a valid latent construct? |journal=Intelligence |volume=43 |pages=65–76 |doi=10.1016/j.intell.2014.01.008 |pmc=4002017 |pmid=24791031}}</ref> One proposed explanation is that people with different genes tend to reinforce the effects of those genes, for example by seeking out different environments.{{sfn|Neisser et al.|1995}}<ref>{{cite journal |display-authors=8 |last1=Huguet |first1=Guillaume |last2=Schramm |first2=Catherine |last3=Douard |first3=Elise |last4=Jiang |first4=Lai |last5=Labbe |first5=Aurélie |last6=Tihy |first6=Frédérique |last7=Mathonnet |first7=Géraldine |last8=Nizard |first8=Sonia |last9=Lemyre |first9=Emmanuelle |last10=Mathieu |first10=Alexandre |last11=Poline |first11=Jean-Baptiste |last12=Loth |first12=Eva |last13=Toro |first13=Roberto |last14=Schumann |first14=Gunter |last15=Conrod |first15=Patricia |last16=Pausova |first16=Zdenka |last17=Greenwood |first17=Celia |last18=Paus |first18=Tomas |last19=Bourgeron |first19=Thomas |last20=Jacquemont |first20=Sébastien |author21=IMAGEN Consortium |title=Measuring and Estimating the Effect Sizes of Copy Number Variants on General Intelligence in Community-Based Samples |journal=JAMA Psychiatry |date=May 2018 |volume=75 |issue=5 |pages=447–457 |doi=10.1001/jamapsychiatry.2018.0039 |pmid=29562078 |pmc=5875373}}</ref>
==Social outcomes ==
{{Template:IQ and associations social outcomes}}
Outside of academic research and health care, IQ testing is often done due to its ability to predict academic achievement, future job performance, and other variables of interest. Academic research has also examined these associations, as well as the associations of IQ with many other social outcomes, such as income and wealth.
===Shared family environment===
The following sections discuss associations between an individual's IQ and social outcomes. The associations between the average IQ of a group and social outcomes may be even more important.<ref>Jones, Garett, National IQ and National Productivity: The Hive Mind Across Asia (June 2011). Asian Development Review, Vol. 28, No. 1, pp. 51-71, 2011. Available at SSRN: http://ssrn.com/abstract=1869472</ref>
Family members have aspects of environments in common (for example, characteristics of the home). This shared family environment accounts for 0.25–0.35 of the variation in IQ in childhood. By late adolescence, it is quite low (zero in some studies). The effect for several other psychological traits is similar. These studies have not looked at the effects of extreme environments, such as in abusive families.{{sfn|Neisser et al.|1995}}<ref>{{cite journal |last1=Bouchard |first1=TJ Jr. |title=Genetic and environmental influences on adult intelligence and special mental abilities |journal=Human Biology; an International Record of Research |volume=70 |issue=2 |pages=257–79 |year=1998 |pmid=9549239}}</ref><ref name="Plomin0103">{{cite journal |last1=Plomin |first1=R |last2=Asbury |first2=K |last3=Dunn |first3=J |title=Why are children in the same family so different? Nonshared environment a decade later |journal=Canadian Journal of Psychiatry |volume=46 |issue=3 |pages=225–33 |year=2001 |pmid=11320676|doi=10.1177/070674370104600302 |doi-access=free}}</ref>{{sfn|Harris|2009|p={{page needed|date=October 2020}}}}
===Non-shared family environment and environment outside the family===
=== Real-life accomplishments ===
Although parents treat their children differently, such differential treatment explains only a small amount of nonshared environmental influence. One suggestion is that children react differently to the same environment because of different genes. More likely influences may be the impact of peers and other experiences outside the family.{{sfn|Neisser et al.|1995}}<ref name="Plomin0103"/>
Average adult IQ associated with real-life accomplishments:<ref name=IQT/>
*MDs or PhDs 125
*College graduates 115
*1–3 years of college 105-110
*Clerical and sales workers 100-105
*High school graduates, skilled workers (e.g., electricians, cabinetmakers) 100
*1–3 years of high school (completed 9–11 years of school) 95
*Elementary school graduates (completed eighth grade) 90
*Elementary school dropouts (completed 0–7 years of school) 80-85
*Have 50/50 chance of reaching high school 75
===Individual genes===
Average IQ of various occupational groups:<ref name=IQT/>
A very large proportion of the over 17,000 human genes are thought to have an effect on the development and functionality of the brain.<ref>{{cite journal |last1=Pietropaolo |first1=S. |last2=Crusio |first2=W. E. |author-link2=Wim Crusio |doi=10.1002/wcs.135 |pmid=26302082 |title=Genes and cognition |journal=[[Wiley Interdisciplinary Reviews: Cognitive Science]] |volume=2 |issue=3 |pages=345–352 |year=2010}}</ref> While a number of individual genes have been reported to be associated with IQ, none have a strong effect. Deary and colleagues (2009) reported that no finding of a strong single gene effect on IQ has been replicated.{{sfn|Deary|Johnson|Houlihan|2009}} Recent findings of gene associations with normally varying intellectual differences in adults and children continue to show weak effects for any one gene.<ref name="Davies2011">{{cite journal |vauthors=Davies G, Tenesa A, Payton A, Yang J, Harris SE, Liewald D, Ke X, Le Hellard S |year=2011 |title=Genome-wide association studies establish that human intelligence is highly heritable and polygenic |journal=Mol Psychiatry |volume=16 |issue=10 |pages=996–1005 |doi=10.1038/mp.2011.85 |pmid=21826061 |pmc=3182557 |display-authors=etal}}</ref><ref name="Benyamin2013">{{cite journal |display-authors=8 |vauthors= Benyamin B, Pourcain B, Davis OS, Davies G, Hansell NK, Brion MJ, Kirkpatrick RM, Cents RA, Franic S, Miller MB, Haworth CM, Meaburn E, Price TS, Evans DM, Timpson N, Kemp J, Ring S, McArdle W, Medland SE, Yang J, Harris SE, Liewald DC, Scheet P, Xiao X, Hudziak JJ, de Geus C, ((Wellcome Trust Case Control Consortium 2)), Jaddoe VW, Starr JM, Verhulst FC, Pennell C, Tiemeier H, Iacono WG, Palmer LJ, Montgomery GW, Martin NG, Boomsma DI, Posthuma D, McGue M, Wright MJ, Smith GD, Deary IJ, Plomin R, Visscher PM |year=2013 |title= Childhood intelligence is heritable, highly polygenic and associated with FNBP1L |journal=Mol Psychiatry |volume=19| issue=2| pages=253–258| doi=10.1038/mp.2012.184 |pmid=23358156 |pmc=3935975}}</ref>
*Professional and technical 112
*Managers and administrators 104
*Clerical workers; sales workers; skilled workers, craftsmen, and foremen 101
*Semi-skilled workers (operatives, service workers, including private household; farmers and farm managers) 92
*Unskilled workers 87
A 2017 [[meta-analysis]] conducted on approximately 78,000 subjects identified 52 genes associated with intelligence. <ref>Sniekers S, Stringer S, Watanabe K, Jansen PR, Coleman JRI, Krapohl E, Taskesen E, Hammerschlag AR, Okbay A, Zabaneh D, Amin N, Breen G, Cesarini D, Chabris CF, Iacono WG, Ikram MA, Johannesson M, Koellinger P, Lee JJ, Magnusson PKE, McGue M, Miller MB, Ollier WER, Payton A, Pendleton N, Plomin R, Rietveld CA, Tiemeier H, van Duijn CM, Posthuma D. Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence. Nat Genet. 2017 Jul;49(7):1107-1112. doi: 10.1038/ng.3869. Epub 2017 May 22. Erratum in: Nat Genet. 2017 Sep 27;49(10 ):1558. PMID: 28530673; PMCID: PMC5665562.</ref> [[FNBP1L]] is reported to be the single gene most associated with both adult and child intelligence.<ref>Benyamin B, Pourcain B, Davis OS, Davies G, Hansell NK, Brion MJ, Kirkpatrick RM, Cents RA, Franić S, Miller MB, Haworth CM, Meaburn E, Price TS, Evans DM, Timpson N, Kemp J, Ring S, McArdle W, Medland SE, Yang J, Harris SE, Liewald DC, Scheet P, Xiao X, Hudziak JJ, de Geus EJ; Wellcome Trust Case Control Consortium 2 (WTCCC2); Jaddoe VW, Starr JM, Verhulst FC, Pennell C, Tiemeier H, Iacono WG, Palmer LJ, Montgomery GW, Martin NG, Boomsma DI, Posthuma D, McGue M, Wright MJ, Davey Smith G, Deary IJ, Plomin R, Visscher PM. Childhood intelligence is heritable, highly polygenic and associated with FNBP1L. Mol Psychiatry. 2014 Feb;19(2):253-8. doi: 10.1038/mp.2012.184. Epub 2013 Jan 29. PMID: 23358156; PMCID: PMC3935975.</ref>
Type of work that can be accomplished:<ref name=IQT/>
*Adults can harvest vegetables, repair furniture 60
*Adults can do domestic work, simple carpentry 50
*Adults can mow lawns, do simple laundry 40
===Gene-environment interaction===
There is considerable variation within and overlap between these categories. People with high IQs are found at all levels of education and occupational categories. The biggest difference occurs for low IQs, with only an occasional college graduate or professional scoring below 90.<ref name=IQT/>
[[David C. Rowe|David Rowe]] reported an interaction of genetic effects with [[socioeconomic status]], such that the heritability was high in high-SES families, but much lower in low-SES families.<ref name="Rowe">{{cite journal |last1=Rowe |first1=D. C. |last2=Jacobson |first2=K. C. |year=1999 |title=Genetic and environmental influences on vocabulary IQ: parental education level as moderator |journal=Child Development |volume=70 |issue=5 |pages=1151–62 |doi=10.1111/1467-8624.00084|pmid=10546338 |s2cid=10959764}}</ref> In the US, this has been replicated in infants,<ref name="Tucker-Drob2011">{{cite journal |last1=Tucker-Drob |first1=E. M. |last2=Rhemtulla |first2=M. |last3= Harden |first3=K. P. |last4=Turkheimer |first4=E. |last5=Fask |first5=D. |year=2011 |title=Emergence of a Gene x Socioeconomic Status Interaction on Infant Mental Ability Between 10 Months and 2 Years |journal=Psychological Science |volume=22 |issue=1| pages=125–33 |doi=10.1177/0956797610392926 |pmid=21169524 |pmc=3532898}}</ref> children,<ref>{{cite journal |last1=Turkheimer |first1=E. |last2=Haley |first2=A. |last3=Waldron |first3=M. |last4=D'Onofrio |first4=B. |last5=Gottesman |first5=I. I. |year=2003 |title=Socioeconomic status modifies heritability of IQ in young children |journal=Psychological Science |volume=14 |issue=6 |pages=623–628 |doi=10.1046/j.0956-7976.2003.psci_1475.x |pmid=14629696 |s2cid=11265284}}</ref> adolescents,<ref>{{cite journal |last1=Harden |first1=K. P. |last2=Turkheimer |first2=E. |last3=Loehlin |first3=J. C. |year=2005 |title=Genotype environment interaction in adolescents' cognitive ability |doi=10.1007/s10519-005-7287-9 |journal=Behavior Genetics |volume=35 |issue=6| page=804 |s2cid=189842802}}</ref> and adults.<ref>{{cite journal |last1=Bates |first1=Timothy C. |last2=Lewis |first2=Gary J. |last3=Weiss |first3=Alexander |date=3 September 2013 |title=Childhood Socioeconomic Status Amplifies Genetic Effects on Adult Intelligence |journal=Psychological Science |volume=24 |issue=10 |pages=2111–2116 |doi=10.1177/0956797613488394 |pmid=24002887 |s2cid=1873699 |url=https://www.pure.ed.ac.uk/ws/files/10602446/GxSES_Bates_Lewis_Weiss_2013_Psychological_Science.pdf|hdl=20.500.11820/52797d10-f0d4-49de-83e2-a9cc3493703d |hdl-access=free }}</ref> Outside the US, studies show no link between heritability and SES.<ref name=":0">{{cite journal |last1=Tucker-Drob |first1=Elliot M. |last2=Bates |first2=Timothy C. |title=Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence |journal=Psychological Science |date=15 December 2015 |volume=27 |issue=2 |pages=138–149 |doi=10.1177/0956797615612727 |pmid=26671911 |pmc=4749462}}</ref> Some effects may even reverse sign outside the US.<ref name=":0" /><ref name="Hanscombe2012">{{cite journal |last1=Hanscombe |first1=K. B. |last2=Trzaskowski |first2=M. |last3=Haworth |first3=C. M. |last4=Davis |first4=O. S. |last5=Dale |first5=P. S. |last6=Plomin |first6=R. |year=2012 |title=Socioeconomic Status (SES) and Children's Intelligence (IQ): In a UK-Representative Sample SES Moderates the Environmental, Not Genetic, Effect on IQ. |journal=PLOS ONE |volume=7 |issue=2 |page=e30320 |doi=10.1371/journal.pone.0030320 |pmid=22312423 |pmc=3270016 |bibcode=2012PLoSO...730320H|doi-access=free }}</ref>
Dickens and Flynn (2001) have argued that genes for high IQ initiate an environment-shaping [[feedback|feedback cycle]], with genetic effects causing bright children to seek out more stimulating environments that then further increase their IQ. In Dickens' model, environment effects are modeled as decaying over time. In this model, the Flynn effect can be explained by an increase in environmental stimulation independent of it being sought out by individuals. The authors suggest that programs aiming to increase IQ would be most likely to produce long-term IQ gains if they enduringly raised children's drive to seek out cognitively demanding experiences.<ref name="DickensFlynn2001">{{cite journal |last1=Dickens |first1=William T. |last2=Flynn |first2=James R. |title=Heritability estimates versus large environmental effects: The IQ paradox resolved. |journal=Psychological Review |volume=108 |issue=2 |pages=346–69 |year=2001 |pmid=11381833 |doi=10.1037/0033-295X.108.2.346 |url=http://www.apa.org/journals/features/rev1082346.pdf |citeseerx=10.1.1.139.2436}}</ref><ref>{{cite journal|first1=William T. |last1=Dickens |first2=James R. |last2=Flynn |title=The IQ Paradox: Still Resolved |journal=Psychological Review |volume=109 |issue=4 |year=2002 |doi=10.1037/0033-295x.109.4.764 |pages=764–771 |url=http://www.brookings.edu/views/papers/dickens/20020205.pdf |url-status=dead |archive-url= https://web.archive.org/web/20070319031706/http://www.brookings.edu/views/papers/dickens/20020205.pdf |archive-date=19 March 2007}}</ref>
=== "Explained variance" ===
Many of the arguments and criticisms regarding the associations between IQ and social outcomes assume that how much of the variance of an outcome that can be explained by IQ (explained variance) can be calculated as the square of the [[correlation coefficient]] between IQ and the outcome. This way of calculating explained variance has been criticized as inappropriate for most social scientific work.<ref name="Achen1990">{{cite journal|last1=Achen|first1=Christopher H.|title=What Does “Explained Variance” Explain?: Reply|journal=Political Analysis|volume=2|issue=1|year=1990|pages=173–184|issn=1047-1987|doi=10.1093/pan/2.1.173}}</ref>
==Interventions==
===Other tests===
In general, educational interventions, as those described below, have shown short-term effects on IQ, but long-term follow-up is often missing. For example, in the US, very large intervention programs such as the [[Head Start Program]] have not produced lasting gains in IQ scores. Even when students improve their scores on standardized tests, they do not always improve their cognitive abilities, such as memory, attention and speed.<ref>{{Cite news |last=Bidwell|first=Allie|date=13 December 2013|title=Study: High Standardized Test Scores Don't Translate to Better Cognition|work=U.S. News & World Report |url=https://www.usnews.com/news/articles/2013/12/13/study-high-standardized-test-scores-dont-translate-to-better-cognition |url-status=dead |access-date=1 July 2017 |archive-url=https://web.archive.org/web/20131214082855/https://www.usnews.com/news/articles/2013/12/13/study%2Dhigh%2Dstandardized%2Dtest%2Dscores%2Ddont%2Dtranslate%2Dto%2Dbetter%2Dcognition |archive-date=14 December 2013}}</ref> More intensive, but much smaller projects, such as the [[Abecedarian Project]], have reported lasting effects, often on socioeconomic status variables, rather than IQ.{{sfn|Neisser et al.|1995}}
A review found that certain IQ tests had an average correlation of about 0.7 with achievement tests.<ref name=IQT/><ref name="Naglieri2003">{{cite journal|last1=Naglieri|first1=J. A.|title=Intelligence and Achievement: Just how Correlated are they?|journal=Journal of Psychoeducational Assessment|volume=21|issue=3|year=2003|pages=244–260|issn=0734-2829|doi=10.1177/073428290302100302}}</ref> Another study found a correlation of 0.82 between ''g'' and [[SAT]] scores.<ref>{{cite journal |last1=Frey |first1=Meredith C. |last2=Detterman |first2=Douglas K. |title=Scholastic Assessment org? |journal=Psychological Science |volume=15 |issue=6 |pages=373–8 |year=2004 |pmid=15147489 |doi=10.1111/j.0956-7976.2004.00687.x}}</ref>
Recent studies have shown that training in using one's [[working memory]] may increase IQ. A study on young adults published in April 2008 by a team from the Universities of Michigan and Bern supports the possibility of the transfer of fluid intelligence from specifically designed [[working memory training]].<ref name="ReferenceA">{{cite journal |last1=Jaeggi |first1=S. M. |last2=Buschkuehl |first2=M. |last3=Jonides |first3=J. |last4=Perrig |first4=W. J. |title=From the Cover: Improving fluid intelligence with training on working memory |journal=Proceedings of the National Academy of Sciences |volume=105 |issue=19 |pages=6829–33 |year=2008 |doi=10.1073/pnas.0801268105 |pmc=2383929 |pmid=18443283|bibcode=2008PNAS..105.6829J|doi-access=free }}</ref> Further research will be needed to determine nature, extent and duration of the proposed transfer. Among other questions, it remains to be seen whether the results extend to other kinds of fluid intelligence tests than the matrix test used in the study, and if so, whether, after training, fluid intelligence measures retain their correlation with educational and occupational achievement or if the value of fluid intelligence for predicting performance on other tasks changes. It is also unclear whether the training is durable for extended periods of time.<ref>{{cite journal |last1=Sternberg |first1=R. J. |title=Increasing fluid intelligence is possible after all |journal=Proceedings of the National Academy of Sciences |volume=105 |issue=19 |pages=6791–2 |year=2008 |doi=10.1073/pnas.0803396105 |pmc=2383939 |pmid=18474863|bibcode=2008PNAS..105.6791S|doi-access=free }}</ref>
==Music==
{{further|Mozart effect}}
Musical training in childhood correlates with higher than average IQ.<ref name="glenn">{{cite journal |last1=Glenn Schellenberg |first1=E. |title=Music Lessons Enhance IQ |journal=Psychological Science |volume=15 |issue=8 |pages=511–514 |year=2004 |pmid=15270994 |doi=10.1111/j.0956-7976.2004.00711.x|doi-access=free |citeseerx=10.1.1.152.4349}}</ref><ref>{{cite journal |last1=Glenn Schellenberg |first1=E. |title=Long-term positive associations between music lessons and IQ |journal=Journal of Educational Psychology |volume=98 |issue=2 |pages=457–468 |year=2006 |doi=10.1037/0022-0663.98.2.457 |citeseerx= 10.1.1.397.5160}}</ref> However, a study of 10,500 twins found no effects on IQ, suggesting that the correlation was caused by genetic confounders.<ref>{{cite journal |last1=Mosing |first1=Miriam A. |last2=Madison |first2=Guy |last3=Pedersen |first3=Nancy L. |last4=Ullén |first4=Fredrik |title=Investigating cognitive transfer within the framework of music practice: genetic pleiotropy rather than causality |journal=Developmental Science |volume=19 |issue=3 |pages=504–512 |date=1 May 2015 |doi=10.1111/desc.12306 |pmid=25939545}}</ref> A meta-analysis concluded that "Music training does not reliably enhance children and young adolescents' cognitive or academic skills, and that previous positive findings were probably due to confounding variables."<ref>{{Cite journal|last1=Sala|first1=Giovanni |last2= Gobet|first2=Fernand|date=1 February 2017|title=When the music's over. Does music skill transfer to children's and young adolescents' cognitive and academic skills? A meta-analysis|journal=Educational Research Review |volume=20|pages=55–67|doi=10.1016/j.edurev.2016.11.005|issn=1747-938X|doi-access=free}}</ref>
It is popularly thought that listening to classical music raises IQ. However, multiple attempted replications (e.g.<ref>{{cite journal |last1=Stough |first1=C. |last2=Kerkin |first2=B. |last3=Bates |first3=T. C. |last4=Mangan |first4=G. |year=1994 |title=Music and spatial IQ |journal=Personality and Individual Differences |volume=17 |issue=5 |page=695 |doi=10.1016/0191-8869(94)90145-7 |url=https://www.researchgate.net/publication/222240707 |access-date=3 October 2020}}</ref>) have shown that this is at best a short-term effect (lasting no longer than 10 to 15 minutes), and is not related to IQ-increase.<ref>{{cite journal |last1=Chabris |first1=C. F. |year=1999 |title=Prelude or requiem for the 'Mozart effect'? |doi=10.1038/23608 |journal=Nature |volume=400 |issue=6747 |pages=826–827 |pmid=10476958 |bibcode=1999Natur.400..826C |s2cid=898161}}</ref>
A study looking at English students found a correlation of 0.81 between ''g'' and [[GCSE]] scores and that the explained variance ranged "from 58.6% in Mathematics and 48% in English to 18.1% in Art and Design" (see criticism of explained variance calculation above).<ref name=Deary2007>{{Cite journal |last1=Deary |first1=I |last2=Strand |first2=S |last3=Smith |first3=P |last4=Fernandes |first4=C |title=Intelligence and educational achievement |journal=Intelligence |volume=35 |issue=1 |pages=13–21 |year=2007 |doi=10.1016/j.intell.2006.02.001}}</ref>
==Brain anatomy==
{{Main|Neuroscience and intelligence}}
Several neurophysiological factors have been correlated with intelligence in humans, including the ratio of brain weight to body weight and the size, shape, and activity level of different parts of the brain. Specific features that may affect IQ include the size and shape of the frontal lobes, the amount of blood and chemical activity in the frontal lobes, the total amount of gray matter in the brain, the overall thickness of the cortex, and the glucose metabolic rate.<ref>{{cite journal | last1 = Deary | first1 = I.J. | last2 = Penke | first2 = L. | last3 = Johnson | first3 = W. | year = 2010 | title = The neuroscience of human intelligence differences | url = http://www.larspenke.eu/pdfs/Deary_Penke_Johnson_2010_-_Neuroscience_of_intelligence_review.pdf | journal = Nature Reviews Neuroscience | volume = 11 | issue = 3| pages = 201–211 | doi=10.1038/nrn2793 | pmid=20145623| s2cid = 5136934| hdl = 20.500.11820/9b11fac3-47d0-424c-9d1c-fe6f9ff2ecac | hdl-access = free }}</ref>
==Health==
{{Main|Impact of health on intelligence|Cognitive epidemiology}}
Health is important in understanding differences in IQ test scores and other measures of cognitive ability. Several factors can lead to significant cognitive impairment, particularly if they occur during pregnancy and childhood when the brain is growing and the blood–brain barrier is less effective. Such impairment may sometimes be permanent, or sometimes be partially or wholly compensated for by later growth.<ref>{{Cite journal |last1=Buss |first1=Claudia |last2=Entringer |first2=Sonja |last3=Swanson |first3=James M. |last4=D. Wadhwa |first4=Pathik |date=2012 |title=The Role of Stress in Brain Development: The Gestational Environment's Long-Term Effects on the Brain |journal=Cerebrum |volume=4 |page=4 |pmid=23447790 |pmc=3574809 }}</ref>
Since about 2010, researchers such as Eppig, Hassel, and MacKenzie have found a very close and consistent link between IQ scores and infectious diseases, especially in the infant and preschool populations and the mothers of these children.<ref name=":7">Eppig. Christopher. Scientific American."Why is average IQ higher in some places?" 2011.</ref> They have postulated that fighting infectious diseases strains the child's metabolism and prevents full brain development. Hassel postulated that it is by far the most important factor in determining population IQ. However, they also found that subsequent factors such as good nutrition and regular quality schooling can offset early negative effects to some extent.
Developed nations have implemented several health policies regarding nutrients and toxins known to influence cognitive function. These include laws requiring fortification of certain food products<ref>{{Cite journal |last1=Olson |first1=Rebecca |last2=Gavin-Smith |first2=Breda |last3=Ferraboschi |first3=Chiara |last4=Kraemer |first4=Klaus |date=April 2021 |title=Food Fortification: The Advantages, Disadvantages and Lessons from Sight and Life Programs |journal=Nutrients |volume=13 |issue=4 |pages=1118 |doi=10.3390/nu13041118 |pmid=33805305 |pmc=8066912 |doi-access=free }}</ref> and laws establishing safe levels of pollutants (e.g. [[lead]], [[Mercury (element)|mercury]], and organochlorides). Improvements in nutrition, and in public policy in general, have been implicated in IQ increases.<ref>{{Cite news |last=Nisen |first=Max |date=July 22, 2013 |title=How Adding Iodine To Salt Resulted In A Decade's Worth Of IQ Gains For The United States |work=Business Insider |url=https://www.businessinsider.com/iodization-effect-on-iq-2013-7#ixzz2ZuFjmyY7 |access-date=December 16, 2023}}</ref>
[[Cognitive epidemiology]] is a field of research that examines the associations between intelligence test scores and health. Researchers in the field argue that intelligence measured at an early age is an important predictor of later health and mortality differences.{{sfn|Deary|Batty|2007}}
==Social correlations==
===School performance===
===School performance===
The [[American Psychological Association]]'s report ''Intelligence: Knowns and Unknowns'' states that wherever it has been studied, children with high scores on tests of intelligence tend to learn more of what is taught in school than their lower-scoring peers. The correlation between IQ scores and grades is about .50. This means that the explained variance is 25%. Achieving good grades depends on many factors other than IQ, such as "persistence, interest in school, and willingness to study" (p. 81).{{sfn|Neisser et al.|1995}}
The 1995 report "[[Intelligence: Knowns and Unknowns]]" stated that wherever it has been studied, children with high scores on tests of intelligence tend to learn more of what is taught in school than their lower-scoring peers. The correlation between IQ scores and grades is about 0.5. This means that the explained variance is 25%. Achieving good grades depends on many factors other than IQ, such as "persistence, interest in school, and willingness to study" (see criticism of explained variance calculation above).<ref name=Neisser95/>
It has been found that the correlation of IQ scores with school performance depends on the IQ measurement used. For undergraduate students, the Verbal IQ as measured by WAIS-R has been found to correlate significantly (0.53) with the grade point average (GPA) of the last 60 hours (credits). In contrast, Performance IQ correlation with the same GPA was only 0.22 in the same study.<ref>{{cite book |last=Kamphaus |first=Randy W. |title=Clinical assessment of child and adolescent intelligence |publisher=Springer |year=2005 | isbn=978-0-387-26299-4}}</ref>
Some measures of educational aptitude correlate highly with IQ tests{{snd}}for instance, {{harvp|Frey|Detterman|2004}} reported a correlation of 0.82 between ''g'' ([[general intelligence factor]]) and [[SAT]] scores;{{sfn|Frey|Detterman|2004}} another research found a correlation of 0.81 between ''g'' and [[General Certificate of Secondary Education|GCSE]] scores, with the explained variance ranging "from 58.6% in Mathematics and 48% in English to 18.1% in Art and Design".{{sfn|Deary|Strand|Smith|Fernandes|2007}}
===Job performance===
===Job performance===
According to Schmidt and Hunter, "for hiring employees without previous experience in the job the most valid predictor of future performance is general mental ability."<ref name="Schmidt98">{{cite journal |last1=Schmidt |first1=Frank L. |last2=Hunter |first2=John E. |title=The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings |journal=Psychological Bulletin |volume=124 |issue=2 |pages=262–74 |year=1998 |citeseerx=10.1.1.172.1733 |doi=10.1037/0033-2909.124.2.262 |s2cid=16429503 |url=http://www.moityca.com.br/pdfs/SchmidteHunter1998.pdf |access-date=25 October 2017 |archive-url=https://web.archive.org/web/20140602034440/http://www.moityca.com.br/pdfs/SchmidteHunter1998.pdf |archive-date=2 June 2014 |url-status=dead}}</ref> The validity of IQ as a predictor of [[job performance]] is above zero for all work studied to date, but varies with the type of job and across different studies, ranging from 0.2 to 0.6.<ref name="Hunter84">{{cite journal |last1=Hunter |first1=John E. |last2=Hunter |first2=Ronda F. |title=Validity and utility of alternative predictors of job performance |journal=Psychological Bulletin |volume=96 |issue=1 |pages=72–98 |year=1984 |doi=10.1037/0033-2909.96.1.72 |s2cid=26858912}}</ref> The correlations were higher when the unreliability of measurement methods was controlled for.{{sfn|Neisser et al.|1995}} While IQ is more strongly correlated with reasoning and less so with motor function,<ref>{{cite journal |last1=Warner |first1=Molly |last2=Ernst |first2=John |last3=Townes |first3=Brenda |last4=Peel |first4=John |last5=Preston |first5=Michael |title=Relationships Between IQ and Neuropsychological Measures in Neuropsychiatric Populations: Within-Laboratory and Cross-Cultural Replications Using WAIS and WAIS-R |journal=Journal of Clinical and Experimental Neuropsychology |volume=9 |issue=5 |pages=545–62 |year=1987 |pmid=3667899 |doi=10.1080/01688638708410768}}</ref> IQ-test scores predict performance ratings in all occupations.<ref name="Schmidt98"/>
One review stated that "for hiring employees without previous experience in the job the most valid predictor of future performance is general mental ability."<ref name="Schmidt98">{{cite journal |last1=Schmidt |first1=Frank L. |last2=Hunter |first2=John E. |title=The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings |journal=Psychological Bulletin |volume=124 |issue=2 |pages=262–74 |year=1998 |doi=10.1037/0033-2909.124.2.262}}</ref> The validity of IQ as a predictor of job performance is above zero for all work studied to date, but varies with the type of job and across different studies, ranging from 0.2 to 0.6.<ref name="Hunter84">{{cite journal |last1=Hunter |first1=John E. |last2=Hunter |first2=Ronda F. |title=Validity and utility of alternative predictors of job performance |journal=Psychological Bulletin |volume=96 |issue=1 |pages=72–98 |year=1984 |doi=10.1037/0033-2909.96.1.72}}</ref> The correlations were higher when the unreliability of measurement methods were controlled for.<ref name=Neisser95/> While IQ is more strongly correlated with reasoning and less so with motor function,<ref>{{cite journal |last1=Warner |first1=Molly |last2=Ernst |first2=John |last3=Townes |first3=Brenda |last4=Peel |first4=John |last5=Preston |first5=Michael |title=Relationships Between IQ and Neuropsychological Measures in Neuropsychiatric Populations: Within-Laboratory and Cross-Cultural Replications Using WAIS and WAIS-R |journal=Journal of Clinical and Experimental Neuropsychology |volume=9 |issue=5 |pages=545–62 |year=1987 |pmid=3667899 |doi=10.1080/01688638708410768}}</ref> IQ-test scores predict performance ratings in all occupations.<ref name="Schmidt98"/> That said, for highly qualified activities (research, management) low IQ scores are more likely to be a barrier to adequate performance, whereas for minimally-skilled activities, athletic strength (manual strength, speed, stamina, and coordination) are more likely to influence performance.<ref name="Schmidt98"/> It is largely mediated through the quicker acquisition of job-relevant knowledge that IQ predicts job performance.
That said, for highly qualified activities (research, management) low IQ scores are more likely to be a barrier to adequate performance, whereas for minimally-skilled activities, athletic strength (manual strength, speed, stamina, and coordination) is more likely to influence performance.<ref name="Schmidt98"/> The prevailing view among academics is that it is largely through the quicker acquisition of job-relevant knowledge that higher IQ mediates job performance. This view has been challenged by Byington & Felps (2010), who argued that "the current applications of IQ-reflective tests allow individuals with high IQ scores to receive greater access to developmental resources, enabling them to acquire additional capabilities over time, and ultimately perform their jobs better."<ref>{{Cite journal |last1=Byington |first1=Eliza |last2=Felps |first2=Will |title=Why do IQ scores predict job performance? |journal=Research in Organizational Behavior |volume=30 |pages=175–202 |doi=10.1016/j.riob.2010.08.003 |year=2010}}</ref>
In establishing a causal direction to the link between IQ and work performance, longitudinal studies suggest that IQ exerts a causal influence on future academic achievement, whereas academic achievement does not substantially influence future IQ scores.<ref>{{cite journal |last1=Watkins |first1=M |last2=Lei |first2=P |last3=Canivez |first3=G |title=Psychometric intelligence and achievement: A cross-lagged panel analysis |journal=Intelligence |volume=35 |issue=1 |pages=59–68 |year=2007 |doi=10.1016/j.intell.2006.04.005}}</ref> Other studies state that general cognitive ability, but not specific ability scores, predict academic achievement, with the exception that processing speed and spatial ability predict performance on the SAT math beyond the effect of general cognitive ability.<ref>{{cite journal |last1=Rohde |first1=T |last2=Thompson |first2=L |title=Predicting academic achievement with cognitive ability |journal=Intelligence |volume=35 |issue=1 |pages=83–92 |year=2007 |doi=10.1016/j.intell.2006.05.004}}</ref>
Newer studies find that the effects of IQ on job performance have been greatly overestimated. The current estimates of the correlation between job performance and IQ are about 0.23 correcting for unreliability and range restriction.<ref>{{cite journal |url=https://ink.library.smu.edu.sg/lkcsb_research/7188/ |title=Revisiting the design of selection systems in light of new findings regarding the validity of widely used predictors |last1=Sackett |first1=Paul R. |last2=Zhang |first2=Charlene |last3=Berry |first3=Christopher M. |last4=Lievens |first4=Filip |year=2023 |journal=Industrial and Organizational Psychology: Perspectives on Science and Practice |volume=16 |issue=3 |access-date=24 April 2023}}</ref><ref>{{cite journal|doi=10.1037/apl0000994 |title=Revisiting meta-analytic estimates of validity in personnel selection: Addressing systematic overcorrection for restriction of range |year=2022 |last1=Sackett |first1=Paul R. |last2=Zhang |first2=Charlene |last3=Berry |first3=Christopher M. |last4=Lievens |first4=Filip |journal=Journal of Applied Psychology |volume=107 |issue=11 |pages=2040–2068 |pmid=34968080 |s2cid=245594032 |url=https://ink.library.smu.edu.sg/lkcsb_research/6894 }}</ref>
Other studies show that ability and performance for jobs are linearly related, such that at all IQ levels, an increase in IQ translates into a concomitant increase in performance.<ref>{{cite journal |last1=Coward |first1=W. Mark |last2=Sackett |first2=Paul R. |title=Linearity of ability-performance relationships: A reconfirmation |journal=Journal of Applied Psychology |volume=75 |issue=3 |pages=297–300 |year=1990 |doi=10.1037/0021-9010.75.3.297}}</ref>
In establishing a causal direction to the link between IQ and work performance, longitudinal studies by Watkins and others suggest that IQ exerts a causal influence on future academic achievement, whereas academic achievement does not substantially influence future IQ scores.<ref>{{cite journal |last1=Watkins |first1=M |last2=Lei |first2=P |last3=Canivez |first3=G |title=Psychometric intelligence and achievement: A cross-lagged panel analysis |journal=Intelligence |volume=35 |issue=1 |pages=59–68 |year=2007 |doi=10.1016/j.intell.2006.04.005|citeseerx=10.1.1.397.3155}}</ref> Treena Eileen Rohde and Lee Anne Thompson write that general cognitive ability, but not specific ability scores, predict academic achievement, with the exception that processing speed and spatial ability predict performance on the SAT math beyond the effect of general cognitive ability.<ref>{{cite journal |last1=Rohde |first1=T |last2=Thompson |first2=L |title=Predicting academic achievement with cognitive ability |journal=Intelligence |volume=35 |issue=1 |pages=83–92 |year=2007 |doi=10.1016/j.intell.2006.05.004}}</ref>
Some US police departments have set a maximum IQ score for new officers (for example: 125, in New London, CT), under the argument that those with overly-high IQs will become bored and exhibit high turnover in the job. This policy has been challenged as discriminatory, but upheld by at least one US District court.<ref>ABC News, "Court OKs Barring High IQs for Cops", http://abcnews.go.com/US/story?id=95836</ref>
However, large-scale longitudinal studies indicate an increase in IQ translates into an increase in performance at all levels of IQ: i.e. ability and job performance are [[Monotonic function|monotonically]] linked at all IQ levels.<ref>{{cite journal |last1=Coward |first1=W. Mark |last2=Sackett |first2=Paul R. |title=Linearity of ability-performance relationships: A reconfirmation |journal=Journal of Applied Psychology |volume=75 |issue=3 |pages=297–300 |year=1990 |doi=10.1037/0021-9010.75.3.297}}</ref><ref>{{cite journal |last1=Robertson |first1=Kimberley Ferriman |last2=Smeets |first2=Stijn |last3=Lubinski |first3=David |last4=Benbow |first4=Camilla P. |title=Beyond the Threshold Hypothesis |journal=Current Directions in Psychological Science |date=14 December 2010 |volume=19 |issue=6 |pages=346–351 |doi=10.1177/0963721410391442 |s2cid=46218795 |url=https://my.vanderbilt.edu/smpy/files/2013/02/Ferriman_20101.pdf}}</ref>
The 1995 report "[[Intelligence: Knowns and Unknowns]]" stated that since the correlation is not extremely high other factors such as interpersonal skills and aspects of personality are probably also important, but at the time of the report there were no equally reliable instruments to measure them. Sometimes IQ scores have been described as the "best available predictor" of job performance.<ref name=Neisser95/>
===Income===
=== Military performance ===
<!-- This whole section needs to be checked against the sources for missing information and undue weight -->
The US military has minimum enlistment standards at about the IQ 85 level. There have been two experiments with lowering this to 80, but in both cases these men could not master soldiering well enough to justify their costs.<ref>Gottfredson, L. S. (2006). Social consequences of group differences in cognitive ability (Consequencias sociais das diferencas de grupo em habilidade cognitiva). In C. E. Flores-Mendoza & R. Colom (Eds.), Introducau a psicologia das diferencas individuais (pp. 433-456). Porto Allegre, Brazil: ArtMed Publishers.</ref>
<!--
{| class="wikitable"
|-
|+ '''Relation between IQ and earnings in the U.S.'''
| colspan="6" | Values are the average earnings (1993 US Dollars) of each IQ sub-population.<ref> {{cite journal | last1 = Murray | first1 = C | year = 1997 | title = IQ and economic success | journal = Public Interest | volume = 128 | pages = 21–35}}</ref>
|}
-->
It has been suggested that "in economic terms it appears that the IQ score measures something with decreasing marginal value" and it "is important to have enough of it, but having lots and lots does not buy you that much".{{sfn |Detterman|Daniel|1989}}<ref>
During the Vietnam War and a shortage of men to draft, "''Secretary of Defense Robert McNamara arrived at a more permanent workaround. The US government would draft men whose low IQ scores had hitherto disqualified them from military service. This stratagem—codenamed ‘Project 100,000’—is detailed along with its dreadful consequences in the book McNamara’s Folly by the late Hamilton Gregory. Gregory witnessed the fate of the low-IQ draftees firsthand while he was a soldier in Vietnam. These draftees—cruelly nicknamed ‘McNamara’s Morons’—were generally capable of completing simple tasks, but even a simple task imperfectly executed can be disastrous in warfare. [...] What happened to many of the 100,000 (whose actual total exceeded 350,000) is not hard to predict. “To survive in combat you had to be smart,” Gregory writes. “You had to know how to use your rifle effectively and keep it clean and operable, how to navigate through jungles and rice paddies without alerting the enemy, and how to communicate and cooperate with other members of your team.” Fulfilling all or any one of these minimum requirements for survival in a battlefield is contingent upon a certain level of verbal and visuospatial intelligence, which many of McNamara’s draftees did not possess. This ultimately led to their fatality rate in Vietnam exceeding that of other GIs by a factor of three.''"<ref>The Dangers of Ignoring Cognitive Inequality https://www.amren.com/news/2018/08/the-dangers-of-ignoring-cognitive-inequality/</ref>
|title=The Role of Intelligence in Modern Society (July–Aug, 1995)
|pages=4 (Nonlinearities in Intelligence)
|date=July 1995
|first=Earl B. |last=Hunt
|publisher=American Scientist
|archive-url=https://web.archive.org/web/20060521185816/http://www.americanscientist.org/template/AssetDetail/assetid/24538/page/4 |archive-date=21 May 2006}}</ref>
The link from IQ to wealth is much less strong than that from IQ to job performance. Some studies indicate that IQ is unrelated to net worth.<ref>{{Cite news |work=The Times |location=London |title=Brains don't make you rich IQ study finds |first=Mark |last=Henderson |date=25 April 2007 |url=http://www.timesonline.co.uk/tol/news/uk/science/article1701377.ece |access-date=5 May 2010}}</ref><ref>{{cite web |title=You Don't Have To Be Smart To Be Rich, Study Finds |website=ScienceDaily |url=https://www.sciencedaily.com/releases/2007/04/070424204519.htm |access-date=26 August 2014}}</ref> The American Psychological Association's 1995 report ''[[Intelligence: Knowns and Unknowns]]'' stated that IQ scores accounted for about a quarter of the social status variance and one-sixth of the income variance. Statistical controls for parental SES eliminate about a quarter of this predictive power. Psychometric intelligence appears as only one of a great many factors that influence social outcomes.{{sfn|Neisser et al.|1995}} [[Charles Murray (political scientist)|Charles Murray]] (1998) showed a more substantial effect of IQ on income independent of family background.{{sfn|Murray|1998|p={{Page needed|date=January 2011}}}} In a meta-analysis, Strenze (2006) reviewed much of the literature and estimated the correlation between IQ and income to be about 0.23.<ref name="Strenze2007">{{cite journal |last1=Strenze |first1=Tarmo |date=September 2007 |title=Intelligence and socioeconomic success: A meta-analytic review of longitudinal research |journal=Intelligence |volume=35 |issue=5 |pages=401–426 |doi=10.1016/j.intell.2006.09.004 |quote=The correlation with income is considerably lower, perhaps even disappointingly low, being about the average of the previous meta-analytic estimates (.15 by Bowles et al., 2001; and .27 by Ng et al., 2005). But...other predictors, studied in this paper, are not doing any better in predicting income, which demonstrates that financial success is difficult to predict by any variable. This assertion is further corroborated by the meta-analysis of Ng et al. (2005) where the best predictor of salary was educational level with a correlation of only .29. It should also be noted that the correlation of .23 is about the size of the average meta-analytic result in psychology(Hemphill, 2003) and cannot, therefore, be treated as insignificant.}}</ref>
===Income and wealth===
The report 1995 ''[[Intelligence: Knowns and Unknowns]]'' stated that IQ scores account for (explained variance) about one-fourth of the social status variance and one-sixth of the income variance (a correlation of 0.4). Statistical controls for parental SES eliminate about a quarter of this predictive power (see the criticism of the explained variance calculation above).<ref name=Neisser95/> This has been criticized as based on young adults (many of whom have not yet completed their education). Arthur Jensen argued that although the correlation between IQ and income averages a moderate 0.4 (one sixth or 16% of the variance), the relationship increases with age, and peaks at middle age when people have reached their maximum career potential.<ref>Arthur Jensen. The g Factor. Page 568</ref>
Some studies assert that IQ only accounts for (explains) a sixth of the variation in income because many studies are based on young adults, many of whom have not yet reached their peak earning capacity, or even their education. On pg 568 of ''[[The g Factor: The Science of Mental Ability|The g Factor]]'', [[Arthur Jensen]] says that although the correlation between IQ and income averages a moderate 0.4 (one-sixth or 16% of the variance), the relationship increases with age, and peaks at middle age when people have reached their maximum career potential. In the book, ''A Question of Intelligence'', [[Daniel Seligman]] cites an IQ income correlation of 0.5 (25% of the variance).
A 2002 study further examined the impact of non-IQ factors on income and argued that an individual's location, inherited wealth, race, and schooling are more important as factors in determining income than IQ.<ref>{{cite journal |last1=Bowles|first1=Samuel|last2=Gintis |first2=Herbert|title=The Inheritance of Inequality |journal=Journal of Economic Perspectives |volume=16 |issue=3 |pages=3–30 |year=2002 |doi=10.1257/089533002760278686}}</ref>
A 2002 study<ref>{{cite journal |last1=Bowles |first1=Samuel |last2=Gintis |first2=Herbert |title=The Inheritance of Inequality |journal=Journal of Economic Perspectives |volume=16 |issue=3 |pages=3–30 |year=2002 |doi=10.1257/089533002760278686|doi-access=free}}</ref> further examined the impact of non-IQ factors on income and concluded that an individual's location, inherited wealth, race, and schooling are more important as factors in determining income than IQ.
Researchers have argued that "in economic terms it appears that the IQ score measures something with decreasing marginal value. It is important to have enough of it, but having lots and lots does not buy you that much."<ref>{{Cite web |url=http://www.americanscientist.org/template/AssetDetail/assetid/24538/page/ |title=The Role of Intelligence in Modern Society (July-Aug, 1995) |pages=4 (Nonlinearities in Intelligence) |date=July
It has also been argued that while higher IQ increases income, it has little effect on absolute wealth. Very rich people may have achieved their money through inheritance or entrepreneurship. Thus, their wealth has not been achieved by accumulating high salaries.<ref>{{Cite news| url=http://www.theaustralian.com.au/news/world/brains-dont-make-you-rich-iq-study-finds/story-e6frg6so-1111113408899 | work=The Times | location=London | title=Brains dont make you rich IQ study finds|first=Mark|last=Henderson|date=April 25, 2007|accessdate=May 5, 2010}}</ref>
The American Psychological Association's 1995 report ''Intelligence: Knowns and Unknowns'' stated that the [[correlates of crime#Psychological traits|correlation between IQ and crime]] was −0.2. This association is generally regarded as small and prone to disappearance or a substantial reduction after controlling for the proper covariates, being much smaller than typical sociological correlates.<ref>{{cite journal |last1=Cullen |first1=Francis T. |last2=Gendreau |first2=Paul |last3=Jarjoura |first3=G. Roger |last4=Wright |first4=John Paul |title=Crime and the Bell Curve: Lessons from Intelligent Criminology |journal=Crime & Delinquency |date=October 1997 |volume=43 |issue=4 |pages=387–411 |doi=10.1177/0011128797043004001 |s2cid=145418972}}</ref> It was −0.19 between IQ scores and the number of juvenile offenses in a large Danish sample; with social class controlled for, the correlation dropped to −0.17. A correlation of 0.20 means that the [[explained variance]] accounts for 4% of the total variance. The causal links between psychometric ability and social outcomes may be indirect. Children with poor scholastic performance may feel alienated. Consequently, they may be more likely to engage in delinquent behavior, compared to other children who do well.{{sfn|Neisser et al.|1995}}
In his book ''[[The g Factor: The Science of Mental Ability|The g Factor]]'' (1998), [[Arthur Jensen]] cited data which showed that, regardless of race, people with IQs between 70 and 90 have higher crime rates than people with IQs below or above this range, with the peak range being between 80 and 90.
===IQ and crime===
The 1995 report ''[[Intelligence: Knowns and Unknowns]]'' stated that the correlation between IQ and crime was -0.2. It was -0.19 between IQ scores and number of juvenile offenses in a large Danish sample; with social class controlled, the correlation dropped to -0.17. A correlation of 0.20 would mean that the explained variance is less than 4%. Similarly, the correlations for most "negative outcome" variables was typically smaller than .20 (see criticism of explained variance calculation above). The report stated that it is important to realize that the causal links between psychometric ability and social outcomes may be indirect. Children with poor scholastic performance may feel alienated. Consequently, they may be more likely to engage in delinquent behavior, compared to other children who do well.<ref name=Neisser95/>
The 2009 ''Handbook of Crime Correlates'' stated that reviews have found that around eight IQ points, or 0.5 SD, separate criminals from the general population, especially for persistent serious offenders. It has been suggested that this simply reflects that "only dumb ones get caught" but there is similarly a negative relation between IQ and self-reported offending. That children with [[conduct disorder]] have lower IQ than their peers "strongly argues" for the theory.<ref>''Handbook of Crime Correlates''; Lee Ellis, Kevin M. Beaver, John Wright; 2009; Academic Press</ref>
In his book ''[[The g Factor]]'' (1998), [[Arthur Jensen]] cited data which showed that, regardless of race, people with IQs between 70 and 90 have higher crime rates than people with IQs below or above this range, with the peak range being between 80 and 90. This is a non-linear relationship which would mean that the overall correlation would be misleadingly low.
A study of the relationship between US county-level IQ and US county-level crime rates found that higher average IQs were very weakly associated with lower levels of property crime, burglary, larceny rate, motor vehicle theft, violent crime, robbery, and aggravated assault. These results were "not confounded by a measure of concentrated disadvantage that captures the effects of race, poverty, and other social disadvantages of the county."<ref>{{cite journal |last1=Beaver |first1=Kevin M. |last2=Schwartz |first2=Joseph A. |last3=Nedelec |first3=Joseph L. |last4=Connolly |first4=Eric J. |last5=Boutwell |first5=Brian B. |last6=Barnes |first6=J.C. |title=Intelligence is associated with criminal justice processing: Arrest through incarceration |journal=Intelligence |date=September 2013 |volume=41 |issue=5 |pages=277–288 |doi=10.1016/j.intell.2013.05.001}}</ref> However, this study is limited in that it extrapolated Add Health estimates to the respondent's counties, and as the dataset was not designed to be representative on the state or county level, it may not be generalizable.<ref>{{cite journal |last1=Beaver |first1=Kevin M. |last2=Wright |first2=John Paul |title=The association between county-level IQ and county-level crime rates |journal=Intelligence |date=January 2011 |volume=39 |issue=1 |pages=22–26 |doi=10.1016/j.intell.2010.12.002}}</ref>
The 2009 ''Handbook of Crime Correlates'' stated that reviews have found that around eight IQ points, or 0.5 SD, separate criminals from the general population, especially for persistent serious offenders. It has been suggested that this simply reflects that "only dumb ones get caught" but there is similarly a negative relation between IQ and self-reported offending. That children with [[conduct disorder]] have lower IQ than their peers "strongly argue" against the theory.<ref>Handbook of Crime Correlates; Lee Ellis, Kevin M. Beaver, John Wright; 2009; Academic Press</ref>
It has also been shown that the effect of IQ is heavily dependent on socioeconomic status and that it cannot be easily controlled away, with many methodological considerations being at play.<ref>{{cite journal |last1=Mears |first1=Daniel P. |last2=Cochran |first2=Joshua C. |title=What is the effect of IQ on offending? |journal=Criminal Justice and Behavior |date=November 2013 |volume=40 |issue=11 |pages=1280–1300 |doi=10.1177/0093854813485736 |s2cid=147219554}}</ref> Indeed, there is evidence that the small relationship is mediated by well-being, substance abuse, and other confounding factors that prohibit simple causal interpretation.<ref>{{cite journal |last1=Freeman |first1=James |title=The relationship between lower intelligence, crime and custodial outcomes: a brief literary review of a vulnerable group |journal=Vulnerable Groups & Inclusion |date=January 2012 |volume=3 |issue=1 |pages=14834 |doi=10.3402/vgi.v3i0.14834 |s2cid=145305072|doi-access=free }}</ref> A recent meta-analysis has shown that the relationship is only observed in higher risk populations such as those in poverty without direct effect, but without any causal interpretation.<ref>{{cite journal |last1=Ttofi |first1=Maria M. |last2=Farrington |first2=David P. |last3=Piquero |first3=Alex R. |last4=Lösel |first4=Friedrich |last5=DeLisi |first5=Matthew |last6=Murray |first6=Joseph |title=Intelligence as a protective factor against offending: A meta-analytic review of prospective longitudinal studies |journal=Journal of Criminal Justice |date=1 June 2016 |volume=45 |pages=4–18 |doi=10.1016/j.jcrimjus.2016.02.003}}</ref> A nationally representative longitudinal study has shown that this relationship is entirely mediated by school performance.<ref>{{cite journal |last1=McGloin |first1=Jean Marie |last2=Pratt |first2=Travis C. |last3=Maahs |first3=Jeff |title=Rethinking the IQ-delinquency relationship: A longitudinal analysis of multiple theoretical models |journal=Justice Quarterly |date=1 September 2004 |volume=21 |issue=3 |pages=603–635 |doi=10.1080/07418820400095921 |s2cid=143305924}}</ref>
A large (n=21513) Finnish study showed a mostly linear association between IQ and criminal offending.<ref name="SchwartzSavolainen2015">{{cite journal|last1=Schwartz|first1=Joseph A.|last2=Savolainen|first2=Jukka|last3=Aaltonen|first3=Mikko|last4=Merikukka|first4=Marko|last5=Paananen|first5=Reija|last6=Gissler|first6=Mika|title=Intelligence and criminal behavior in a total birth cohort: An examination of functional form, dimensions of intelligence, and the nature of offending|journal=Intelligence|volume=51|year=2015|pages=109–118|issn=01602896|doi=10.1016/j.intell.2015.06.001}}</ref>
===Health and mortality===
=== Religiosity and IQ ===
Multiple studies conducted in Scotland have found that higher IQs in early life are associated with lower mortality and morbidity rates later in life.<ref>{{Cite journal |last1=Gottfredson |first1=Linda S. |last2=Deary |first2=Ian J. |date=22 June 2016 |title=Intelligence Predicts Health and Longevity, but Why? |journal=Current Directions in Psychological Science |language=en |volume=13 |issue=1 |pages=1–4 |doi=10.1111/j.0963-7214.2004.01301001.x |s2cid=15176389}}</ref><ref>{{Cite journal |last1=Batty |first1=G. David |last2=Deary |first2=Ian J. |last3=Gottfredson |first3=Linda S. |title=Premorbid (early life) IQ and Later Mortality Risk: Systematic Review |journal=Annals of Epidemiology |volume=17 |issue=4 |pages=278–288 |doi=10.1016/j.annepidem.2006.07.010 |pmid=17174570 |year=2007|citeseerx=10.1.1.693.9671}}</ref>
Several large studies in the United States have found significant but relatively weak associations between a lower IQ and religiosity. The relationship has remained after controlling for education and was strongest for fundamentalism.<ref>Helmuth Nyborg, The intelligence–religiosity nexus: A representative study of white adolescent Americans, Intelligence, Volume 37, Issue 1, January–February 2009, Pages 81-93, ISSN 0160-2896, http://dx.doi.org/10.1016/10.1016/j.intell.2008.08.003.</ref><ref>Satoshi Kanazawa. Why Liberals and Atheists Are More Intelligent. Social Psychology Quarterly March 2010 73: 33-57, first published on February 16, 2010 http://dx.doi.org/10.1177/0190272510361602</ref><ref>Gary J. Lewis, Stuart J. Ritchie, Timothy C. Bates, The relationship between intelligence and multiple domains of religious belief: Evidence from a large adult US sample, Intelligence, Volume 39, Issue 6, November–December 2011, Pages 468-472, ISSN 0160-2896, http://dx.doi.org/10.1016/10.1016/j.intell.2011.08.002.</ref>
===Other accomplishments===
== IQ and dysgenics ==
<!-- This whole section, repetitive of a section above, needs to be checked against reliable sources for missing information and due weight -->
{{Main|Dysgenics}}
{| class=wikitable
|+ Average adult combined IQs associated with real-life accomplishments by various tests:{{sfn|Kaufman|2009|p=126}}{{sfn|Kaufman|Lichtenberger|2006}}
! Accomplishment !! IQ !! Test/study !! Year
|-
| MDs, JDs, and PhDs || 125 || [[WAIS-R]] || 1987
|-
| rowspan=3 | College graduates || rowspan=2 | 112 || [[Alan S. Kaufman|KAIT]] || 2000
|-
| [[Alan S. Kaufman|K-BIT]] || 1992
|-
| 115 || WAIS-R ||
|-
| rowspan=3 | 1–3 years of college || rowspan=2 | 104 || KAIT ||
|-
| K-BIT ||
|-
| 105–110 || WAIS-R ||
|-
| Clerical and sales workers || 100–105 || ||
|-
| rowspan=3 | High school graduates, skilled workers (e.g., electricians, cabinetmakers) || rowspan=2 | 100 || KAIT ||
|-
| WAIS-R ||
|-
| 97 || K-BIT ||
|-
| rowspan=3 | 1–3 years of high school (completed 9–11 years of school) || 94 || KAIT ||
There is considerable variation within and overlap among these categories. People with high IQs are found at all levels of education and occupational categories. The biggest difference occurs for low IQs with only an occasional college graduate or professional scoring below 90.<ref name=Kaufman2009/>
==Group differences==
==Group differences==
Among the most controversial issues related to the study of intelligence is the observation that IQ scores vary on average between ethnic and racial groups, though these differences have fluctuated and in many cases steadily decreased over time.<ref name=":8">{{Cite journal |last1=Nisbett |first1=Richard E. |last2=Aronson |first2=Joshua |last3=Blair |first3=Clancy |last4=Dickens |first4=William |last5=Flynn |first5=James |last6=Halpern |first6=Diane F. |last7=Turkheimer |first7=Eric |date=2012 |title=Intelligence: New findings and theoretical developments |journal=American Psychologist |volume=67 |issue=2 |pages=130–159 |doi=10.1037/a0026699 |issn=1935-990X |pmid=22233090}}</ref> While there is little scholarly debate about the continued existence of some of these differences, the current scientific consensus is that they stem from environmental rather than genetic causes.{{sfn|Ceci|Williams|2009|pages=788–789, "There is an emerging consensus about racial and gender equality in genetic determinants of intelligence; most researchers, including ourselves, agree that genes do not explain between-group differences"}}<ref>{{Cite journal |date=25 May 2017 |title=Intelligence research should not be held back by its past |journal=Nature |volume=545 |issue=7655 |pages=385–386 |doi=10.1038/nature.2017.22021 |pmid=28541341 |bibcode=2017Natur.545R.385. |s2cid=4449918 |quote=Intelligence science has undoubtedly been dogged by ugly prejudice. Historical measurements of skull volume and brain weight were done to advance claims of the racial superiority of white people. More recently, the (genuine but closing) gap between the average IQ scores of groups of black and white people in the United States has been falsely attributed to genetic differences between the races.|doi-access=free }}</ref><ref name=":03" /> The existence of differences in IQ between the sexes has been debated, and largely depends on which tests are performed.<ref name="Mackintosh2">{{harvnb|Mackintosh|2011|pp=[https://books.google.com/books?id=BcKcAQAAQBAJ&pg=PA362 362–363]}}</ref><ref name="Hunt 389">{{harvnb|Hunt|2011|p=[https://books.google.com/books?id=DwO4TtKAiCoC&pg=PA389 389]}}</ref>
Among the most controversial issues related to the IQ is the observation that average IQ scores and/or more narrow ability average test scores vary between ethnic/racial groups and between the sexes. While there is little scholarly debate about the ''existence'' of some of these differences, their ''causes'' remain highly controversial, both within academia and in the public sphere.
===Race===
===Race===
{{Main|Race and intelligence}}While the concept of "[[Race (human categorization)|race]]" is a [[Social constructionism|social construct]],<ref>{{cite book |last=Templeton |first=A. |year=2016 |chapter=Evolution and Notions of Human Race |editor-last1=Losos |editor-first1=J. |editor-last2=Lenski |editor-first2=R. |title=How Evolution Shapes Our Lives: Essays on Biology and Society |pages=346–361 |location=Princeton; Oxford |publisher=Princeton University Press |doi=10.2307/j.ctv7h0s6j.26}} That this view reflects the consensus among American anthropologists is stated in: {{cite journal|last1=Wagner|first1=Jennifer K.|last2=Yu |first2=Joon-Ho|last3=Ifekwunigwe|first3=Jayne O. |last4=Harrell|first4=Tanya M.|last5=Bamshad |first5=Michael J.|last6=Royal |first6=Charmaine D.|date=February 2017|title=Anthropologists' views on race, ancestry, and genetics|journal=American Journal of Physical Anthropology |volume=162|issue=2|pages=318–327 |doi=10.1002/ajpa.23120 |pmc=5299519 |pmid=27874171}} See also: {{cite web|author=[[American Association of Physical Anthropologists]]|date=27 March 2019|title=AAPA Statement on Race and Racism |url=https://physanth.org/about/position-statements/aapa-statement-race-and-racism-2019/|access-date=19 June 2020|website=American Association of Physical Anthropologists}}</ref> discussions of a purported relationship between race and intelligence, as well as claims of genetic differences in intelligence along racial lines, have appeared in both [[popular science]] and [[academic research]] since the modern concept of race was first introduced. Despite the tremendous amount of research done on the topic, no scientific evidence has emerged that the average IQ scores of different population groups can be attributed to genetic differences between those groups.<ref>{{Cite book |last1=Jencks |first1=Christopher |title=The Black-White Test Score Gap |last2=Phillips |first2=Meredith |publisher=Brookings Institution Press |year=2011 |isbn=9780815746119 |pages=503 |quote=The available evidence reviewed by several authors in this volume provides, as Richard E. Nisbett puts it, 'no evidence for genetic superiority of either race while providing strong evidence for a substantial environmental contribution to the black-white IQ gap.' |author-link=Christopher Jencks |orig-date=1998}}</ref><ref>{{Cite web |last1=Birney |first1=Ewan |author-link=Ewan Birney |last2=Raff |first2=Jennifer |author-link2=Jennifer Raff |last3=Rutherford |first3=Adam |author-link3=Adam Rutherford |last4=Scally |first4=Aylwyn |date=24 October 2019 |title=Race, genetics and pseudoscience: an explainer |url=http://ewanbirney.com/2019/10/race-genetics-and-pseudoscience-an-explainer.html |website=Ewan's Blog: Bioinformatician at large |quote=‘Human biodiversity’ proponents sometimes assert that alleged differences in the mean value of IQ when measured in different populations – such as the claim that IQ in some sub-Saharan African countries is measurably lower than in European countries – are caused by genetic variation, and thus are inherent. . . . Such tales, and the claims about the genetic basis for population differences, are not scientifically supported. In reality for most traits, including IQ, it is not only unclear that genetic variation explains differences between populations, it is also unlikely.}}</ref><ref>{{Cite journal |last1=Aaron |first1=Panofsky |author-link=Aaron Panofsky |last2=Dasgupta |first2=Kushan |date=28 September 2020 |title=How White nationalists mobilize genetics: From genetic ancestry and human biodiversity to counterscience and metapolitics |journal=American Journal of Biological Anthropology |volume=175 |issue=2 |pages=387–398 |doi=10.1002/ajpa.24150 |pmid=32986847 |pmc=9909835 |s2cid=222163480 |quote=[T]he claims that genetics defines racial groups and makes them different, that IQ and cultural differences among racial groups are caused by genes, and that racial inequalities within and between nations are the inevitable outcome of long evolutionary processes are neither new nor supported by science (either old or new).}}</ref> Growing evidence indicates that environmental factors, not genetic ones, explain the racial IQ gap.<ref name=":2">{{Cite journal |last=Kaplan |first=Jonathan Michael |date=January 2015 |title=Race, IQ, and the search for statistical signals associated with so-called "X"-factors: environments, racism, and the "hereditarian hypothesis" |journal=Biology & Philosophy |volume=30 |issue=1 |pages=1–17 |doi=10.1007/s10539-014-9428-0 |issn=0169-3867 |s2cid=85351431}}</ref><ref name=":322">{{Cite journal|last1=Dickens|first1=William T.|last2=Flynn|first2=James R.|date=2006|title=Black Americans Reduce the Racial IQ Gap: Evidence from Standardization Samples|url=http://www.iapsych.com/iqmr/fe/LinkedDocuments/dickens2006a.pdf|journal=Psychological Science|volume=17|issue=10|pages=913–920|doi=10.1111/j.1467-9280.2006.01802.x|pmid=17100793|s2cid=6593169}}</ref><ref name=":03">{{cite journal|last1=Nisbett|first1=Richard E.|last2=Aronson|first2=Joshua|last3=Blair|first3=Clancy|last4=Dickens|first4=William|last5=Flynn|first5=James|author-link5=Jim Flynn (academic)|last6=Halpern|first6=Diane F.|author-link6=Diane F. Halpern|last7=Turkheimer|first7=Eric|date=2012|title=Group differences in IQ are best understood as environmental in origin|url=http://people.virginia.edu/~ent3c/papers2/Articles%20for%20Online%20CV/Nisbett%20(2012)%20Group.pdf|journal=American Psychologist|volume=67|pages=503–504|doi=10.1037/a0029772|issn=0003-066X|pmid=22963427|access-date=22 July 2013|number=6|author-link1=Richard E. Nisbett}}</ref>
{{Main|Race and intelligence}}
A 1996 task force investigation on intelligence sponsored by the [[American Psychological Association]] concluded that there were significant variations in IQ across races.{{sfn|Neisser et al.|1995}} However, a systematic analysis by [[William Dickens]] and [[James Flynn (academic)|James Flynn]] (2006) showed the gap between black and white Americans to have closed dramatically during the period between 1972 and 2002, suggesting that, in their words, the "constancy of the Black–White IQ gap is a myth".<ref name=":32">{{Cite journal|last1=Dickens|first1=William T.|last2=Flynn|first2=James R.|date=2006|title=Black Americans Reduce the Racial IQ Gap: Evidence from Standardization Samples |url=http://www.iapsych.com/iqmr/fe/LinkedDocuments/dickens2006a.pdf|journal=Psychological Science |volume=17|issue=10|pages=913–920|doi=10.1111/j.1467-9280.2006.01802.x|pmid=17100793|s2cid=6593169}}</ref>
The problem of determining the causes underlying racial variation has been discussed at length as a classic question of "[[nature and nurture|nature versus nurture]]", for instance by [[Alan S. Kaufman]]{{sfn|Kaufman|2009|page=[https://archive.org/details/iqtestingpsych00phdd/page/n187 173]}} and [[Nathan Brody]].{{sfn|Brody|2005|p={{page needed|date=October 2020}}}} Researchers such as statistician [[Bernie Devlin]] have argued that there are insufficient data to conclude that the black–white gap is due to genetic influences.<ref>{{Cite book |url=https://archive.org/details/intelligencegene00bern |title=Intelligence, Genes, and Success: Scientists Respond to the Bell Curve|publisher=[[Springer Science+Business Media|Springer Verlag]]|year=1997|isbn=978-0-387-98234-2 |editor1=Bernie Devlin|location=New York |editor2=Stephen E. Fienberg|editor3=Daniel P. Resnick|editor4=Kathryn Roeder}}{{Page needed|date=January 2011}}</ref> Dickens and Flynn argued more positively that their results refute the possibility of a genetic origin, concluding that "the environment has been responsible" for observed differences.<ref name=":32" /> A review article published in 2012 by leading scholars on human intelligence reached a similar conclusion, after reviewing the prior research literature, that group differences in IQ are best understood as environmental in origin.<ref>{{cite journal |last1=Nisbett |first1=Richard E. |last2=Aronson |first2=Joshua |last3=Blair |first3=Clancy |last4=Dickens |first4=William |last5=Flynn |first5=James |last6=Halpern |first6=Diane F. |last7=Turkheimer |first7=Eric |author-link1=Richard E. Nisbett |author-link5=Jim Flynn (academic) |author-link6=Diane F. Halpern |title=Group differences in IQ are best understood as environmental in origin |journal=American Psychologist |doi=10.1037/a0029772 |pmid=22963427 |issn=0003-066X |volume=67 |number=6 |date=2012 |pages=503–504 |url=http://people.virginia.edu/~ent3c/papers2/Articles%20for%20Online%20CV/Nisbett%20(2012)%20Group.pdf |access-date=22 July 2013}}</ref> More recently, geneticist and neuroscientist Kevin Mitchell has argued, on the basis of basic principles of population genetics, that "systematic genetic differences in intelligence between large, ancient populations" are "inherently and deeply implausible".<ref name=":02">{{Cite news|last=Mitchell|first=Kevin |date=2 May 2018|title=Why genetic IQ differences between 'races' are unlikely: The idea that intelligence can differ between populations has made headlines again, but the rules of evolution make it implausible |work=The Guardian|url=https://www.theguardian.com/science/blog/2018/may/02/why-genetic-iq-differences-between-races-are-unlikely|access-date=13 June 2020}}</ref>
The effects of [[stereotype threat]] have been proposed as an explanation for differences in IQ test performance between racial groups,{{sfn|Mackintosh|2011|p=348}}<ref>{{cite book |last1=Inzlicht |first1=Michael |date=2011 |title=Stereotype Threat: Theory, Process, and Application |publisher=Oxford University Press |pages=5, 141–143 |isbn= 978-0199732449}}</ref> as have issues related to cultural difference and access to education.<ref>{{Cite book |last1=Shuttleworth-Edwards|first1=Ann B.|title=Minority and cross-cultural aspects of neuropsychological assessment|last2=Van der Merwe|first2=Adele S. |publisher=Swets & Zeitlinger|year=2002|isbn=9026518307|editor-last=Ferraro |editor-first=F. Richard |location=Exton, PA |pages=72–75|chapter=WAIS-III and WISC-IV South African Cross-Cultural Normative Data Stratified for Quality of Education}}</ref><ref name=":6">Barbara P. Uzzell, Marcel Ponton, Alfredo Ardila International Handbook of Cross-Cultural Neuropsychology book {{ISBN|978-0805835854}} (2013)</ref>
=== Countries ===
[[File:InvertedIQbyCountry.png|thumb|Map showing the average IQs of different countries according the ''[[IQ and the Wealth of Nations]]''.]]
{{Main|Countries and intelligence}}
===Sex===
===Sex===
{{Main|Sex differences in intelligence}}
The report 1995 [[Intelligence: Knowns and Unknowns]] stated that most tests have been constructed to give equal overall scores to men and women. Men have a large advantage in visual-spatial tasks like mental rotation and spatiotemporal tasks like tracking a moving object through space. This explains their better performance in tasks involving aiming and throwing. Males also score higher on quantitative, mechanical,<ref name="LemosAbad2013">{{cite journal|last1=Lemos|first1=Gina C.|last2=Abad|first2=Francisco J.|last3=Almeida|first3=Leandro S.|last4=Colom|first4=Roberto|title=Sex differences on g and non-g intellectual performance reveal potential sources of STEM discrepancies|journal=Intelligence|volume=41|issue=1|year=2013|pages=11–18|issn=01602896|doi=10.1016/j.intell.2012.10.009}}</ref> and proportional reasoning. Females score higher on verbal tasks. Many more males than females are diagnosed with dyslexia and reading disabilities as well as stuttering. Sex hormones have been implicated as a cause of these differences.<ref name=Neisser95/>
With the advent of the concept of ''g'' or [[general intelligence]], many researchers have found that there are no significant sex differences in general intelligence,<ref name="Hunt 389"/><ref name="Plotnik2">{{cite book |url=https://books.google.com/books?id=6jLTCQAAQBAJ&pg=PT324|title=Introduction to Psychology |vauthors=Plotnik R, Kouyoumdjian H|publisher=[[Cengage Learning]]|year=2013|isbn=978-1133939535|pages=282–283}}</ref><ref name="Hunt 378-379">{{harvnb|Hunt|2011|pp=[https://books.google.com/books?id=DwO4TtKAiCoC&pg=PA378 378–379]}}</ref> though ability in particular types of intelligence does vary.<ref name="Mackintosh2"/><ref name="Hunt 378-379"/> Thus, while some test batteries show slightly greater intelligence in males, others show greater intelligence in females.<ref name="Mackintosh2"/><ref name="Hunt 378-379"/> In particular, studies have shown female subjects performing better on tasks related to [[Linguistic intelligence|verbal ability]],<ref name="Hunt 389"/> and males performing better on tasks related to rotation of objects in space, often categorized as [[spatial ability]].<ref name="Terry2">{{cite book |url=https://books.google.com/books?id=4s5WCgAAQBAJ&pg=PA356|title=Learning and Memory: Basic Principles, Processes, and Procedures, Fourth Edition|vauthors=Terry WS|publisher=[[Psychology Press]] |year=2015|isbn=978-1317350873 |page=356}}</ref> These differences remain, as {{harvp|Hunt|2011}} observes, "even though men and women are essentially equal in general intelligence".
Some research indicates that male advantages on some [[cognitive test]]s are minimized when controlling for socioeconomic factors.<ref name="Mackintosh2"/><ref name="Plotnik2"/> Other research has concluded that there is slightly [[Variability hypothesis|larger variability]] in male scores in certain areas compared to female scores, which results in slightly more males than females in the [[Intellectual giftedness|top]] and [[Intellectual disability|bottom]] of the IQ distribution.<ref name="Chrisler JC">{{cite book|url= https://books.google.com/books?id=Xtq0M1f_aIMC&pg=PA302 |title=Handbook of Gender Research in Psychology: Volume 1: Gender Research in General and Experimental Psychology |vauthors=Chrisler JC, McCreary DR |publisher=[[Springer Science & Business Media]] |year=2010 |isbn=978-1441914651|page=302}}</ref>
The existence of differences between male and female performance on math-related tests is contested,<ref name=":5">{{cite journal|last1=Hyde|first1=J. S.|last2=Linn|first2=M. C.|date=27 October 2006 |title=DIVERSITY: Enhanced: Gender Similarities in Mathematics and Science|journal=Science|volume=314 |issue=5799 |pages=599–600|doi=10.1126/science.1132154|pmid=17068246|s2cid=34045261}}</ref> and a meta-analysis focusing on average gender differences in math performance found nearly identical performance for boys and girls.<ref>{{cite journal|last1=Hyde|first1=Janet S.|last2=Fennema|first2=Elizabeth|last3=Lamon|first3=Susan J.|date=1990|title=Gender differences in mathematics performance: A meta-analysis.|journal=Psychological Bulletin|volume=107|issue=2|pages=139–155|doi=10.1037/0033-2909.107.2.139|pmid=2138794}}</ref> Currently, most IQ tests, including popular batteries such as the WAIS and the WISC-R, are constructed so that there are no overall score differences between females and males.{{sfn|Neisser et al.|1995}}<ref name="apa">{{cite journal |last1=Nisbett |first1=Richard E. |last2=Aronson |first2=Joshua |last3=Blair |first3=Clancy |last4=Dickens |first4=William |last5=Flynn |first5=James |last6=Halpern |first6=Diane F. |last7=Turkheimer |first7=Eric |title=Intelligence: New findings and theoretical developments. |journal=American Psychologist |date=2012 |volume=67 |issue=2 |pages=130–159 |doi=10.1037/a0026699 |pmid=22233090 |s2cid=7001642}}</ref>{{sfn|Jensen|1998|p=531}}
==Public policy==
{{Main|Intelligence and public policy}}
In the United States, certain [[Public policy (law)|public policies]] and laws regarding military service,<ref>{{cite report|url=https://www.rand.org/content/dam/rand/pubs/technical_reports/2005/RAND_TR193.pdf |title=Determinants of Productivity for Military Personnel|last=Kavanagh|first=Jennifer|date=2005 |publisher=RAND Corporation|location=Santa Monica, CA |isbn=0-8330-3754-4|access-date=1 July 2017}}</ref><ref>{{cite report |url=https://www.rand.org/content/dam/rand/pubs/monograph_reports/2009/MR818.pdf |title=Estimating AFQT Scores for National Educational Longitudinal Study (NELS) Respondents|last1=Kilburn |first1=M. Rebecca|last2=Hanser |first2=Lawrence M.|date=2009 |publisher=RAND Corporation|location=Santa Monica, CA |last3=Klerman|first3=Jacob A.|access-date=1 July 2017}}</ref> education, public benefits,<ref>{{Cite web |url=https://www.ssa.gov/disability/professionals/bluebook/12.00-MentalDisorders-Adult.htm |title=12.00-Mental Disorders-Adult |website=www.ssa.gov|publisher=U. S. Social Security Administration |access-date=1 July 2017}}</ref> capital punishment,{{sfn|Flynn|2009|p={{Page needed|date=January 2011}}}} and employment incorporate an individual's IQ into their decisions. However, in the case of ''[[Griggs v. Duke Power Co.]]'' in 1971, for the purpose of minimizing employment practices that disparately impacted racial minorities, the [[Supreme Court of the United States|U.S. Supreme Court]] banned the use of IQ tests in employment, except when linked to job performance via a [[job analysis]]. Internationally, certain public policies, such as improving nutrition and prohibiting [[neurotoxins]], have as one of their goals raising, or preventing a decline in, intelligence.
Some more recent studies have found somewhat higher average IQ for men than for women, corresponding to the on average somewhat larger brains of men.<ref>{{cite journal |last1=Jackson |first1=D |last2=Rushton |first2=J |title=Males have greater g: Sex differences in general mental ability from 100,000 17- to 18-year-olds on the Scholastic Assessment Test |journal=Intelligence |volume=34 |issue=5 |pages=479–86 |year=2006 |doi=10.1016/j.intell.2006.03.005}}</ref><ref>{{cite journal |last1=Lynn |first1=R |last2=Irwing |first2=P |title=Sex differences on the progressive matrices: A meta-analysis |journal=Intelligence |volume=32 |issue=5 |pages=481−98 |year=2004 |doi=10.1016/j.intell.2004.06.008}}</ref> For [[normal distribution]]s, such as IQ and height, if there is a small average difference, then it will be amplified at the extremes. There is a 30:1 ratio of men to women who have a height of 5 feet ten inches; there is a 2000:1 ratio for a height of 6 feet.<ref name=BlankSlate>Steven Pinker, ''The Blank Slate'', 2002, Viking Penguin, Chapter 18 Gender</ref><ref>Steven Pinker, The Science of Difference, The New Republic, 02.14.05, http://pinker.wjh.harvard.edu/articles/media/2005_02_14_newrepublic.html</ref>
A diagnosis of [[intellectual disability]] is in part based on the results of IQ testing. [[Borderline intellectual functioning]] is the categorization of individuals of below-average cognitive ability (an IQ of 71–85), although not as low as those with an intellectual disability (70 or below).
Studies have also found greater [[variance]] in the scores of men compared to that of women.<ref>{{cite journal |last1=Deary |first1=I |last2=Irwing |first2=P |last3=Der |first3=G |last4=Bates |first4=T |title=Brother–sister differences in the g factor in intelligence: Analysis of full, opposite-sex siblings from the NLSY1979 |journal=Intelligence |volume=35 |issue=5 |pages=451–6 |year=2007 |doi=10.1016/j.intell.2006.09.003}}</ref><ref name="WaiCacchio2010">{{cite journal|last1=Wai|first1=Jonathan|last2=Cacchio|first2=Megan|last3=Putallaz|first3=Martha|last4=Makel|first4=Matthew C.|title=Sex differences in the right tail of cognitive abilities: A 30year examination|journal=Intelligence|volume=38|issue=4|year=2010|pages=412–423|issn=01602896|doi=10.1016/j.intell.2010.04.006}}</ref> This would also cause greater differences between men and women at extreme IQ scores.
In the United Kingdom, the [[eleven plus exam]] which incorporated an intelligence test has been used from 1945 to decide, at eleven years of age, which type of school a child should go to. They have been much less used since the widespread introduction of [[comprehensive school]]s.
==Public policies directly using IQ==
A diagnosis of [[mental retardation]] is in part based on the results of IQ testing. [[Borderline intellectual functioning]] is a categorization where a person has below average cognitive ability (an IQ of 71–85), but the deficit is not as severe as mental retardation (70 or below).
==Classification==
Internationally, certain public policies, such as improving nutrition and prohibiting neurotoxins, have as one of their goals raising, or preventing a decline of, IQ.
{{Main|IQ classification}}
[[File:Stephen Hawking.StarChild.jpg|thumb|upright=0.7|Physicist [[Stephen Hawking]]. When asked his IQ, he replied: "I have no idea. People who boast about their IQ are losers."<ref>{{Cite news|last=Solomon |first=Deborah |date=12 December 2004|title=The Science of Second-Guessing|work=The New York Times |url=https://www.nytimes.com/2004/12/12/magazine/the-science-of-secondguessing.html}}</ref>]]
IQ classification is the practice used by IQ test publishers for designating IQ score ranges into various categories with labels such as "superior" or "average".{{sfn|Kaufman|Lichtenberger|2006}} IQ classification was preceded historically by attempts to classify human beings by general ability based on other forms of behavioral observation. Those other forms of behavioral observation are still important for validating classifications based on IQ tests.
In the [[United States]], certain public policies and laws regarding military service,<ref>{{Cite web |url=http://www.rand.org/pubs/technical_reports/2005/RAND_TR193.pdf |format=PDF|title=RAND_TR193.pdf}}</ref><ref>{{Cite web |url=http://www.rand.org/pubs/monograph_reports/MR818/MR818.ch2.pdf |format=PDF|title=MR818.ch2.pdf}}</ref> education, public benefits,<ref>{{Cite web |url=http://www.ssa.gov/disability/professionals/bluebook/12.00-MentalDisorders-Adult.htm |title=Social Security Administration}}</ref> capital punishment,<ref>{{Cite book|author=Flynn, James R. |title=What Is Intelligence: Beyond the Flynn Effect |edition=expanded paperback |location=Cambridge |publisher=Cambridge University Press |isbn=978-0-521-74147-7 |year=2009 |laysummary=http://www.cscs.umich.edu/~crshalizi/reviews/flynn-beyond/ |laydate=18 July 2010 |ref=harv }}</ref> and employment incorporate an individual's IQ into their decisions. However, in the case of [[Griggs v. Duke Power Co.]] in 1971, for the purpose of minimizing employment practices that disparately impacted racial minorities, the U.S. Supreme Court banned the use of IQ tests in employment, except in very rare cases.<ref>Nicholas Lemann. The IQ Meritocracy. Time 100 [http://www.time.com/time/time100/scientist/other/iq.html link]</ref>
==High-IQ societies==
==Criticism and views==
{{Main|High-IQ society}}
===Relationship between IQ and intelligence===
{{Main|Intelligence}}
IQ is by far the most researched approach to [[intelligence]] and by far the most widely used in practical settings, due to its documented predictive ability. However, there may be more to intelligence in a broad sense than IQ, with [[creativity]] being one example of a trait that may be different from IQ.
There are social organizations, some international, which limit membership to people who have scores as high as or higher than the 98th percentile (two standard deviations above the mean) on some IQ test or equivalent. [[Mensa International]] is perhaps the best known of these. The largest 99.9th percentile (three standard deviations above the mean) society is the [[Triple Nine Society]].
===Criticism of ''g''===
{{Clear}}
In ''[[The Mismeasure of Man]]'' (1996), [[paleontologist]] [[Stephen Jay Gould]] criticized IQ tests and argued that they were used for [[scientific racism]]. One argument was directed against ''g'' which was argued to be a mathematical artifact. Psychologist [[Peter Schonemann|Peter Schönemann]] was another critic.<ref>Psychometrics of Intelligence. K. Kemp-Leonard (ed.) Encyclopedia of Social Measurement, 3, 193-201: [http://www2.psych.purdue.edu/~phs/pdf/89.pdf]</ref><ref name="www2.psych.purdue.edu">{{cite journal |doi=10.1007/BF02259513 |first1=Peter H. |last1=Schönemann |title=On models and muddles of heritability |pmid=9463078 |year=1997 |pages=97–108 |issue=2–3 |volume=99 |journal=Genetica |url=http://www2.psych.purdue.edu/~phs/pdf/81.pdf}}</ref>
==See also==
Psychologist [[Arthur Jensen]] has rejected this criticism by Gould and also argued that even if ''g'' was replaced by a model with several intelligences, then this would change the situation less than expected. All tests of cognitive ability would continue to be highly correlated with one another, as they are currently, and there would still be a Black-White gap on cognitive tests.<ref name="jensen">{{cite journal | author = Jensen Arthur | year = 1982 | title = The Debunking of Scientific Fossils and Straw Persons | url = http://www.debunker.com/texts/jensen.html | journal = Contemporary Education Review | volume = 1 | issue = 2| pages = 121–135 }}</ref> [[James R. Flynn]], an intelligence researcher known for his criticisms of racial theories of intelligence, similarly argued that "''Gould's book evades all of [Arthur] Jensen's best arguments for a genetic component in the black-white IQ gap by positing that they are dependent on the concept of ''g'' as a general intelligence factor. Therefore, Gould believes that if he can discredit ''g'' no more need be said. This is manifestly false. Jensen's arguments would bite no matter whether blacks suffered from a score deficit on one or 10 or 100 factors.''"<ref>{{cite journal | author = Flynn J. R. | year = 1999 | title = Evidence against Rushton: The Genetic Loading of the Wisc-R Subtests and the Causes of Between-Group IQ Differences | url = | journal = Personality and Individual Differences | volume = 26 | issue = | pages = 373–93 }}</ref>
* [[Emotional competence]]
* [[Emotional intelligence|Emotional intelligence (EI)]], also known as emotional quotient (EQ) and emotional intelligence quotient (EIQ)
* [[Raven's Progressive Matrices]]
* [[Stanford–Binet Intelligence Scales]]
* [[Wechsler Adult Intelligence Scale]]
* [[Woodcock–Johnson Tests of Cognitive Abilities]]
==Citations==
=== Early IQ research ===
<!-- This article uses the citation templates described in [[User:RexxS/Cite_multiple_pages]]. Thank you to RexxS for the detailed tips. -->
Various aspects of early IQ research have sometimes been cited as criticisms. A reply has been that drawing conclusions from early intelligence research is like condemning the auto industry by criticizing the performance of the first automobiles.<ref name=Jensen1982>{{Cite journal |authorlink=Arthur Jensen |author=Jensen, A.R. |year=1942 |title=The debunking of scientific fossils and straw persons |journal=Contemporary Education Review |volume=1 |issue=2 |pages=121–135 |url= http://www.debunker.com/texts/jensen.html |accessdate=2008-03-18}}</ref>
Regarding various argued issues in connection with [[race and intelligence]] research, such as test bias against certain groups, see the article about the research.
<ref name="Hunt2011p5">{{Harvnb |Hunt|2011|page=5}} "As mental testing expanded to the evaluation of adolescents and adults, however, there was a need for a measure of intelligence that did not depend upon mental age. Accordingly the intelligence quotient (IQ) was developed. ... The narrow definition of IQ is a score on an intelligence test ... where 'average' intelligence, that is the median level of performance on an intelligence test, receives a score of 100, and other scores are assigned so that the scores are distributed normally about 100, with a standard deviation of 15. Some of the implications are that: 1. Approximately two-thirds of all scores lie between 85 and 115. 2. Five percent (1/20) of all scores are above 125, and one percent (1/100) are above 135. Similarly, five percent are below 75 and one percent below 65."</ref>
<ref name="TermanOldClasses">{{Harvnb |Terman|1916|page=[https://archive.org/details/measurementofint008006mbp/page/n106 79]}} "What do the above IQ's imply in such terms as feeble-mindedness, border-line intelligence, dullness, normality, superior intelligence, genius, etc.? When we use these terms two facts must be born in mind: (1) That the boundary lines between such groups are absolutely arbitrary, a matter of definition only; and (2) that the individuals comprising one of the groups do not make up a homogeneous type."</ref>
<ref name="WechslerOldClasses">{{Harvnb |Wechsler|1939|page=37}} "The earliest classifications of intelligence were very rough ones. To a large extent they were practical attempts to define various patterns of behavior in medical-legal terms."</ref>
<ref name="Kaufman2009p21">{{Harvnb |Kaufman|2009|page=21}} "Galton's so-called intelligence test was misnamed."</ref>
<ref name="Kaufman2009Fig5.1">{{Harvnb |Kaufman|2009|loc=Figure 5.1 IQs earned by preadolescents (ages 12–13) who were given three different IQ tests in the early 2000s}}</ref>
<ref name="KaufmanSB2013Fig3.1">{{Harvnb |Kaufman|2013|loc=Figure 3.1 "Source: {{harvp|Kaufman|2009}}. Adapted with permission."}}</ref>
}}
==General and cited references==
===Outdated methodology===
{{Refbegin|30em}}
A 2006 article stated that contemporary psychological research often did not reflect substantial recent developments in psychometrics and "''bears an uncanny resemblance to the psychometric state of the art as it existed in the 1950s.''" However, it also states that an "''increasing number of psychometrically informed research papers that have been appearing in the past decade.''"<ref>{{cite journal |last1=Borsboom |first1=Denny |title=The attack of the psychometricians |journal=Psychometrika |volume=71 |issue=3 |pages=425–40 |year=2006 |doi=10.1007/s11336-006-1447-6 |ref=harv |pmc=2779444 |pmid=19946599}}</ref>
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* {{cite journal |last=Borsboom |first=Denny |title=The attack of the psychometricians |journal=Psychometrika |volume=71 |issue=3 |pages=425–440 |date=September 2006 |doi=10.1007/s11336-006-1447-6 |pmc=2779444 |pmid=19946599}}
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* {{cite book |last=Carroll |first=John B. |title=Human cognitive abilities: A survey of factor-analytic studies |location=New York |publisher=[[Cambridge University Press]] |isbn=978-0-521-38275-5 |date=1993 |url=http://steinhardtapps.es.its.nyu.edu/create/courses/2174/reading/Carroll_1.pdf |access-date=15 May 2014 |archive-url=https://web.archive.org/web/20140714201804/http://steinhardtapps.es.its.nyu.edu/create/courses/2174/reading/Carroll_1.pdf |archive-date=14 July 2014 |url-status=dead }}
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* {{cite book |last=Carroll |first=John B. |chapter=Human Cognitive Abilities: A Critique |title=Human Cognitive Abilities in Theory and Practice |editor1-last=McArdle |editor1-first=John J. |editor2-last=Woodcock |editor2-first=Richard W. |location=Mahwah, NJ |publisher=Lawrence Erlbaum Associates |date=1998 |pages=5–23 |isbn=978-0-8058-2717-0}}
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**{{cite web |author=Cosma Shalizi |date=27 April 2009 |title=The Domestication of the Savage Mind |website=bactra.org |url=http://bactra.org/reviews/flynn-beyond/ }}
<!-- Flynn2012 -->
* {{Cite book |author=Flynn, James R. |title=Are We Getting Smarter? Rising IQ in the Twenty-First Century |location=Cambridge |publisher=Cambridge University Press |isbn=978-1-107-60917-4 |date=2012}}
**{{cite journal |first=Lea |last=Winerman |title=Smarter than ever? |url=http://www.apa.org/monitor/2013/03/smarter.aspx |journal=Monitor on Psychology |volume=44 |issue=3 |page=30 |date=March 2013 }}
* {{cite book |last=Freides |first=David |chapter=Review of Stanford–Binet Intelligence Scale, Third Revision |title=Seventh Mental Measurements Yearbook |url=https://archive.org/details/seventhmentalmea01buro |url-access=limited |editor=Oscar Buros |location=Highland Park, NJ |publisher=Gryphon Press |date=1972 |pages=[https://archive.org/details/seventhmentalmea01buro/page/772 772]–773 }}
<!-- GeorgasWeissvan de VijverSaklofske2003 -->
* {{cite book |title=Culture and Children's Intelligence: Cross-Cultural Analysis of the WISC-III |first1=James |last1=Georgas |first2=Lawrence |last2=Weiss |first3=Fons |last3=van de Vijver |first4=Donald |last4=Saklofske |editor1-first=James |editor1-last=Georgas |editor2-first=Lawrence |editor2-last=Weiss |editor3-first=Fons |editor3-last=van de Vijver |editor4-first=Donald |editor4-last=Saklofske |editor3-link=Fons van de Vijver |chapter=Preface |pages=xvx–xxxii |date=2003 |publisher=Academic Press |location=San Diego, CA |isbn=978-0-12-280055-9}}
* {{cite journal |last=Gottfredson |first=Linda S. |title=Why g matters: The complexity of everyday life |journal=Intelligence |volume=24 |issue=1 |date=1997 |pages=79–132 |issn=0160-2896 |doi=10.1016/S0160-2896(97)90014-3 |url=http://www.udel.edu/educ/gottfredson/reprints/1997whygmatters.pdf |access-date=7 July 2014 |citeseerx=10.1.1.535.4596 }}
<!-- Gottfredson1998 -->
* {{cite journal |first1=Linda S. |last1=Gottfredson |title=The general intelligence factor |journal=Scientific American Presents |volume=9 |issue=4 |pages=24–29 |date=1998 |url=http://www.udel.edu/educ/gottfredson/reprints/1998generalintelligencefactor.pdf }}
<!-- Gottfredson2005 -->
* {{cite book |last=Gottfredson |first=Linda S. |title=Destructive Trends In Mental Health: The Well-Intentioned Path to Harm |editor1-last=Wright |editor1-first=Rogers H. |editor2-last=Cummings |editor2-first=Nicholas A. |date=11 March 2005 |publisher=Taylor & Francis |isbn=978-0-203-95622-9 |chapter=Chapter 9: Suppressing Intelligence Research: Hurting Those We Intend to Help |pages=155–186 |chapter-url=http://www.udel.edu/educ/gottfredson/reprints/2005suppressingintelligence.pdf }}
<!-- Gottfredson2006 -->
* {{cite book |last=Gottfredson |first=Linda S. |trans-chapter=Social consequences of group differences in cognitive ability |chapter=Conseqüências sociais das diferenças de grupo na capacidade cognitiva |title=Introdução à Psicologia das Diferenças Individuais |trans-title=Introduction to the psychology of individual differences |editor1-last=Flores-Mendoza |editor1-first=Carmen E. |editor2-last=Colom |editor2-first=Roberto |location=Porto Alegre, Brazil |publisher=ArtMed Publishers |date=2006 |pages=433–456 |isbn=978-85-363-1418-1 |chapter-url=http://www.udel.edu/educ/gottfredson/reprints/2004socialconsequences.pdf }}
<!--Gottfredson2009 -->
* {{cite book |last=Gottfredson |first=Linda S. |chapter=Chapter 1: Logical Fallacies Used to Dismiss the Evidence on Intelligence Testing |title=Correcting Fallacies about Educational and Psychological Testing |editor-last=Phelps |editor-first=Richard F. |date=2009 |publisher=American Psychological Association |location=Washington, DC |isbn=978-1-4338-0392-5}}
<!-- Gould1981 -->
* {{cite book|last=Gould |first=Stephen Jay |author-link=Stephen Jay Gould |title=The Mismeasure of Man |location=New York |publisher=W. W. Norton |isbn=978-0-393-30056-7 |date=1981}}
**{{cite news |author=Christopher Lehmann-Haupt |date=21 October 1981 |title=Books Of The Times: The Mismeasure of Man |type=Review |url=https://www.nytimes.com/books/97/11/09/home/gould-mismeasure.html |newspaper=The New York Times }}
<!-- Gould1996 -->
* {{cite book |last=Gould |first=Stephen Jay |author-link=Stephen Jay Gould |title=The Mismeasure of Man |location=New York |publisher=W. W. Norton |isbn=978-0-393-31425-0 |date=1996 |edition=Rev. and expanded |url=https://archive.org/details/mismeasureofman00goul_1 }}
<!-- Gregory1995 -->
* {{cite encyclopedia |last=Gregory |first=Robert J. |title=Classification of Intelligence |editor-last=Sternberg |editor-first=Robert J. |editor-link=Robert J. Sternberg |encyclopedia=Encyclopedia of human intelligence |date=1995 |publisher=Macmillan |isbn=978-0-02-897407-1 |volume=1 |pages=260–266 |url=https://archive.org/details/encyclopediaofhu0000unse/page/260 }}
<!-- Groth-Marnat2009 -->
* {{cite book |title=Handbook of Psychological Assessment |last=Groth-Marnat |first=Gary |date=2009 |publisher=Wiley |location=Hoboken, NJ |isbn=978-0-470-08358-1 |edition=5th}}
<!-- Harris2009 -->
* {{cite book |last=Harris |first=Judith Rich |author-link=Judith Rich Harris |title=The Nurture Assumption: Why Children Turn Out the Way They Do |date=2009 |edition=2nd |publisher=Free Press |isbn=978-1-4391-0165-0}}
**{{cite interview |subject=Judith Rich Harris |interviewer=Jonah Lehrer |date=9 April 2009 |title=Do Parents Matter? |magazine=Scientific American |url=http://www.scientificamerican.com/article/parents-peers-children/ }}
<!-- HopkinsStanley1981 -->
* {{cite book |last1=Hopkins |first1=Kenneth D. |last2=Stanley |first2=Julian C. |title=Educational and Psychological Measurement and Evaluation |edition=6th |location=Engelwood Cliffs, NJ |publisher=[[Prentice Hall]] |isbn=978-0-13-236273-3 |date=1981}}
* {{cite book |last1=Hunt |first1=Earl B. |author-link1=Earl B. Hunt |date=2011 |title=Human Intelligence |publisher=Cambridge University Press |location=Cambridge |isbn=978-0-521-70781-7 |url=https://books.google.com/books?id=DwO4TtKAiCoC }}
<!-- Jensen1969 this is a citation to the one-volume reprint -->
* {{cite book |last=Jensen |first=Arthur |title=Environment, Heredity, and Intelligence |series=Harvard Educational Review Reprint Series |volume=2 |date=1969 |publisher=Harvard Educational Review |location=Cambridge, MA |pages=1–123 |chapter=How Much Can We Boost IQ and Scholastic Achievement? |lccn=71087869 |isbn=978-0916690021}}
**{{cite periodical |date=9 October 1978 |title=Jensen A R. How much can we boost IQ and scholastic achievement? |type=Review |periodical=Citation Classics |number=41 |url=http://www.garfield.library.upenn.edu/classics1978/A1978FQ53600002.pdf }}
<!-- Jensen1980 -->
* {{cite book |last=Jensen |first=Arthur R. |title=Bias in mental testing |location=New York |publisher=[[Free Press (publisher)|Free Press]] |isbn=978-0-02-916430-3 |date=1980}}<br/>{{*}}{{cite journal|ref=none |last=Scarr |first=Sandra |title=Implicit Messages: A Review of ''Bias in Mental Testing'' |journal=American Journal of Education |volume=89 |issue=3 |date=1981 |pages=330–338 |doi=10.1086/443584 |jstor=1084961|s2cid=147214993 }}
<!-- Jensen1998 -->
* {{cite book |title=The g Factor: The Science of Mental Ability |last=Jensen |first=Arthur R. |date=1998 |publisher=Praeger |location=Westport, CT |isbn=978-0-275-96103-9 |issn=1063-2158 |series=Human Evolution, Behavior, and Intelligence |url=https://archive.org/details/gfactorscienc00jens }}<br/>{{*}}{{cite journal |ref=none |last=Locurto |first=Charles |date=1999 |title=A Balance Sheet on Persistence: Book Review of Jensen on Intelligence-g-Factor |journal=Psycoloquy |volume=10 |issue=59 |at=9 |url=http://www.cogsci.ecs.soton.ac.uk/cgi/psyc/newpsy?10.059 }}
<!-- Jensen2006 -->
* {{cite book |last=Jensen |first=Arthur R. |title=Clocking the Mind: Mental Chronometry and Individual Differences |url=http://www.sciencedirect.com/science/book/9780080449395 |access-date=7 July 2014 |date=10 July 2006 |publisher=Elsevier |isbn=978-0-08-044939-5 }}<br/>{{*}}{{cite journal |ref=none |last=Wai |first=Jonathan |title=Book Review: Jensen, A. R. (2006). Clocking the mind: Mental chronometry and individual differences. Amsterdam: Elsevier. (ISBN 978-0-08-044939-5) |journal=Gifted Child Quarterly |date=2008 |volume=52 |page=99 |doi=10.1177/0016986207310434 |s2cid=143666885 |url=http://www.psychologytoday.com/files/attachments/56143/bookreviewclockingthemind.pdf }}
<!-- Jensen2011 -->
* {{cite journal |title=The Theory of Intelligence and Its Measurement |last=Jensen |first=Arthur R. |date=2011 |journal=Intelligence |volume=39 |issue=4 |pages=171–177 |issn=0160-2896 |doi=10.1016/j.intell.2011.03.004}}
<!-- Johnson2012 -->
* {{cite book |last=Johnson |first=Wendy |title=Developmental Psychology: Revisiting the Classic Studies |editor1-last=Slater |editor1-first=Alan M. |editor2-last=Quinn |editor2-first=Paul C. |chapter=How Much Can We Boost IQ? An Updated Look at Jensen's (1969) Question and Answer |location=Thousand Oaks, CA |publisher=SAGE |isbn=978-0-85702-757-3 |date=2012}}<br/>{{*}}{{cite journal |ref=none |last=Gamboa |first=Camille |date=May 2013 |title=(Review) Developmental Psychology: Revisiting the Classic Studies, [ed.] by Alan M. Slater and Paul C. Quinn |journal=Choice |volume=50 |issue=9 |url=http://www.cne.psychol.cam.ac.uk/pdfs/choice |url-status=dead |archive-url=https://web.archive.org/web/20141010173731/http://www.cne.psychol.cam.ac.uk/pdfs/choice |archive-date=10 October 2014 }}
<!-- JohnsonTurkheimerGottesmanBouchard2009 -->
* {{cite journal |last1=Johnson |first1=Wendy |last2=Turkheimer |first2=E. |last3=Gottesman |first3=Irving |last4=Bouchard |first4=Thomas |date=2009 |title=Beyond Heritability: Twin Studies in Behavioral Research |journal=Current Directions in Psychological Science |volume=18 |issue=4 |pages=217–220 |url=http://people.virginia.edu/~ent3c/papers2/Articles%20for%20Online%20CV/Johnson%20%282009%29.pdf |access-date=29 June 2010 |doi=10.1111/j.1467-8721.2009.01639.x |pmc=2899491 |pmid=20625474 }}
<!-- Kaufman2009 -->
* {{cite book |title=IQ Testing 101 |last=Kaufman |first=Alan S. |author-link=Alan S. Kaufman |date=2009 |publisher=Springer Publishing |location=New York |isbn=978-0-8261-0629-2 |url=https://archive.org/details/iqtestingpsych00phdd |url-access=limited }}
<!-- KaufmanLichtenberger2006 -->
* {{cite book |title=Assessing Adolescent and Adult Intelligence |last1=Kaufman |first1=Alan S. |last2=Lichtenberger |first2=Elizabeth O. |author-link1=Alan S. Kaufman |edition=3rd |date=2006 |publisher=[[John Wiley & Sons|Wiley]] |location=Hoboken, NJ |isbn=978-0-471-73553-3 }}
<!-- KaufmanSB2013 -->
* {{cite book |last=Kaufman |first=Scott Barry |title=Ungifted: Intelligence Redefined |url=https://archive.org/details/ungiftedintellig0000kauf |url-access=registration |access-date=1 October 2013 |date=1 June 2013 |publisher=Basic Books |isbn=978-0-465-02554-1 }}
**{{cite magazine |title=Ungifted: Intelligence Redefined: The Truth about Talent, Practice, Creativity, and the Many Paths to Greatness |magazine=Publishers Weekly |type=Review |url=http://www.publishersweekly.com/978-0-465-02554-1 }}
<!-- KranzlerFloyd2013 -->
* {{cite book |last1=Kranzler |first1=John H. |last2=Floyd |first2=Randy G. |title=Assessing Intelligence in Children and Adolescents: A Practical Guide |date=1 August 2013 |publisher=Guilford Press |isbn=978-1-4625-1121-1 |url=http://www.guilfordpress.co.uk/books/details/9781462511211/ |access-date=9 June 2014 |archive-url=https://web.archive.org/web/20141016201213/http://www.guilfordpress.co.uk/books/details/9781462511211/ |archive-date=16 October 2014 |url-status=dead }}
<!-- LahnEbenstein2009 -->
* {{cite journal |last1=Lahn |first1=Bruce T. |last2=Ebenstein |first2=Lanny | author-link2 = Alan O. Ebenstein | title=Let's celebrate human genetic diversity |journal=Nature |volume=461 |issue=7265 |pages=726–728 |date=2009 |issn=0028-0836 |pmid=19812654 |doi=10.1038/461726a |bibcode=2009Natur.461..726L |s2cid=205050141}}
<!-- LohmanFoley Nicpon2012 -->
* {{cite book |title=Identification: The Theory and Practice of Identifying Students for Gifted and Talented Education Services |last1=Lohman |first1=David F. |last2=Foley Nicpon |first2=Megan |editor-last=Hunsaker |editor-first=Scott |chapter=Chapter 12: Ability Testing & Talent Identification |pages=287–386 |chapter-url=https://faculty.education.uiowa.edu/docs/default-source/dlohman/ability-testing-and-talent-identification.pdf?sfvrsn=0 |date=2012 |publisher=Prufrock |location=Waco, TX |isbn=978-1-931280-17-4 |access-date=2014-07-07 |archive-date=2016-03-15 |archive-url=https://web.archive.org/web/20160315055952/https://faculty.education.uiowa.edu/docs/default-source/dlohman/ability-testing-and-talent-identification.pdf?sfvrsn=0 |url-status=dead }}
<!-- Mackintosh1998 -->
* {{Cite book |title=IQ and Human Intelligence |last=Mackintosh |first=N. J. |author-link=Nicholas Mackintosh |year=1998 |publisher=Oxford University Press |location=Oxford |isbn=978-0-19-852367-3 |url=https://archive.org/details/iqhumanintellige00mack }}
<!-- Mackintosh2011 -->
* {{cite book |title=IQ and Human Intelligence |last=Mackintosh |first=N. J. |author-link=Nicholas Mackintosh |date=2011 |edition=2nd |publisher=Oxford University Press |location=Oxford |isbn=978-0-19-958559-5 |url=https://books.google.com/books?id=BcKcAQAAQBAJ }}
<!-- Matarazzo1972 -->
* {{cite book |title=Wechsler's Measurement and Appraisal of Adult Intelligence |last=Matarazzo |first=Joseph D. |date=1972 |edition=5th |publisher=Williams & Witkins |location=Baltimore, MD}}
**{{cite journal |author=R. D. Savage |date=April 1974 |title=Wechsler's Measurement and Appraisal of Adult Intelligence, 5th ed |type= Review |journal=British Journal of Industrial Medicine |volume=31 |issue=2 |page=169 |pmc=1009574}}
<!-- McIntoshDixonPierson2012 -->
* {{harvc |last1=McIntosh|first1=David E. |last2=Dixon|first2=Felicia A. |last3=Pierson|first3=Eric E. |in1=Flanagan|in2=Harrison |c=Chapter 25: Use of Intelligence Tests in the Identification of Giftedness |pp=623–642 |year=2012}}
<!-- Murray1998 -->
* {{Cite book |last=Murray |first=Charles |title=Income Inequality and IQ |location=Washington, DC |publisher=[[AEI Press]] |isbn=978-0-8447-7094-9 |date=1998 |url=https://www.aei.org/wp-content/uploads/2011/10/20040302_book443.pdf |access-date=7 July 2014 }}<br/>{{*}}{{cite magazine |ref=none |last=Loury |first=Glenn C. |date=18 May 1998 |title=Charles II |department=Hard Questions Column |url=http://www.bu.edu/irsd/articles/charles2.htm |magazine=The New Republic |access-date=7 July 2014 |archive-date=2015-09-24 |archive-url=https://web.archive.org/web/20150924042546/http://www.bu.edu/irsd/articles/charles2.htm |url-status=dead }}
<!-- Naglieri1999 -->
* {{cite book |title=Essentials of CAS Assessment |last=Naglieri |first=Jack A. |date=1999 |publisher=Wiley |location=Hoboken, NJ |series=Essentials of Psychological Assessment |isbn=978-0-471-29015-5}}
<!-- NeisserBoodooBouchard1996 formerly named APA-report -->
* {{cite journal |ref={{sfnref|Neisser et al.|1995}} |display-authors=8 |last1=Neisser |first1=Ulrich |last2=Boodoo |first2=Gwyneth |last3=Bouchard |first3=Thomas J. |last4=Boykin |first4=A. Wade |last5=Brody |first5=Nathan |last6=Ceci |first6=Stephen J. |last7=Halpern |first7=Diane F. |last8=Loehlin |first8=John C. |last9=Perloff |first9=Robert |last10=Sternberg |first10=Robert J. |last11=Urbina |first11=Susana |author-link1=Ulrich Neisser |author-link10=Robert Sternberg |title=Intelligence: Knowns and unknowns |journal=American Psychologist |issn=0003-066X |volume=51 |issue=2 |pages=77–101 |year=1996 |doi=10.1037/0003-066x.51.2.77 |url=http://psych.colorado.edu/~carey/pdfFiles/IQ_Neisser2.pdf |access-date=9 October 2014 |s2cid=20957095 }}
<!-- Noguera2001 -->
* {{Cite journal |last=Noguera |first=Pedro A. |title=Racial politics and the elusive quest for excellence and equity in education |journal=In Motion Magazine |date=30 September 2001 |id=Article # ER010930002 |url=http://www.inmotionmagazine.com/er/pnrp1.html |access-date=7 July 2014 }}
<!-- PerlethSchatzMönks2000 -->
* {{cite book |last1=Perleth |first1=Christoph |last2=Schatz |first2=Tanja |last3=Mönks |first3=Franz J. |title=International Handbook of Giftedness and Talent |url=https://archive.org/details/internationalhan00hell |url-access=limited |editor1-last=Heller |editor1-first=Kurt A. |editor2-last=Mönks |editor2-first=Franz J. |editor3-last=Sternberg |editor3-first=Robert J. |editor4-last=Subotnik |editor4-first=Rena F. |edition=2nd |date=2000 |publisher=Pergamon |location=Amsterdam |isbn=978-0-08-043796-5 |pages=[https://archive.org/details/internationalhan00hell/page/n313 297]–316 |chapter=Early Identification of High Ability |quote=a gifted sample gathered using IQ > 132 using the old SB L-M in 1985 does not contain the top 2% of the population but the best 10%. |editor3-link=Robert Sternberg }}
<!-- PlominDeFriesKnopikNeiderhiser2012 -->
* {{cite book|last1=Plomin |first1=Robert |last2=DeFries |first2=John C. |last3=Knopik |first3=Valerie S. |last4=Neiderhiser |first4=Jenae M. |title=Behavioral Genetics |date=2013 |publisher=Worth Publishers |isbn=978-1-4292-4215-8 |edition=6th}}
<!-- Shurkin1992 -->
* {{cite journal |last=Reddy |first=Ajitha |year=2008 |title=The Eugenic Origins of IQ Testing: Implications for Post-Atkins Litigation |url=https://via.library.depaul.edu/cgi/viewcontent.cgi?article=1270&context=law-review |journal=[[DePaul Law Review]] |volume=57 |pages=667–677 }}
* {{cite book |title=Terman's Kids: The Groundbreaking Study of How the Gifted Grow Up |last=Shurkin |first=Joel |date=1992 |publisher=Little, Brown |location=Boston, MA |isbn=978-0-316-78890-8 |url=https://archive.org/details/termanskids00joel }}
** {{cite news |author=Frederic Golden |date=31 May 1992 |title=Tracking the IQ Elite : TERMAN'S KIDS: The Groundbreaking Study of How the Gifted Grow Up, By Joel N. Shurkin |url=http://articles.latimes.com/1992-05-31/books/bk-1247_1_lewis-terman |archive-url=https://web.archive.org/web/20121108031753/http://articles.latimes.com/1992-05-31/books/bk-1247_1_lewis-terman |archive-date=8 November 2012 |newspaper=Los Angeles Times }}
<!-- Stern1912, Stern1914 as harv ref -->
* {{cite book |last=Stern |first=William |author-link=William Stern (psychologist) |location=Baltimore, MD |publisher=Warwick & York |date=1914 |url=https://books.google.com/books?id=D6h9AAAAMAAJ |access-date=15 June 2014 |title=The Psychological Methods of Testing Intelligence |translator=Guy Montrose Whipple |series=Educational psychology monographs |volume=13 |isbn=9781981604999 |oclc=4521857 |lccn=14010447 }}<br/>{{cite book|ref=none |last=Stern |first=William |title=Die psychologischen Methoden der Intelligenzprüfung: und deren Anwendung an Schulkindern |location=Leipzig |publisher=J. A. Barth |date=1912 |language=de |trans-title=The Psychological Methods of Testing Intelligence}}
<!-- Terman et al. 1915 -->
* {{cite journal |ref={{sfnref|Terman et al.|1915}} |last1=Terman |first1=Lewis M. |last2=Lyman |first2=Grace |last3=Ordahl |first3=George |last4=Ordahl |first4=Louise |last5=Galbreath |first5=Neva |last6=Talbert |first6=Wilford |title=The Stanford revision of the Binet–Simon scale and some results from its application to 1000 non-selected children |journal=Journal of Educational Psychology |volume=6 |issue=9 |pages=551–62 |year=1915 |doi=10.1037/h0075455 |url=https://zenodo.org/record/1429169 }}
<!-- Terman1916 -->
* {{cite book |title=The Measurement of Intelligence: An Explanation of and a Complete Guide to the Use of the Stanford Revision and Extension of the Binet–Simon Intelligence Scale |last=Terman |first=Lewis M. |author-link=Lewis Terman |editor=Ellwood P. Cubberley |year=1916 |publisher=Houghton Mifflin |location=Boston |series=Riverside Textbooks in Education |url=https://www.gutenberg.org/ebooks/20662 |access-date=26 June 2010 }}
<!-- TermanMerrill1937 -->
* {{cite book |title=Measuring Intelligence: A Guide to the Administration of the New Revised Stanford–Binet Tests of Intelligence |last1=Terman |first1=Lewis M. |last2=Merrill A. |first2=Maude |author-link=Lewis Terman |year=1937 |publisher=Houghton Mifflin |location=Boston}}
<!-- TermanMerrill1960 -->
* {{cite book |title=Stanford–Binet Intelligence Scale: Manual for the Third Revision Form L-M with Revised IQ Tables by Samuel R. Pinneau |last1=Terman |first1=Lewis M. |last2=Merrill |first2=Maude A. |author-link1=Lewis Terman |year=1960 |publisher=Houghton Mifflin |location=Boston, MA}}
<!-- Turkheimer2008 -->
* {{cite journal |last=Turkheimer |first=Eric |date=April 2008 |title=A Better Way to Use Twins for Developmental Research |journal=LIFE Newsletter |volume=2 |issue=1 |pages=2–5 |url=http://people.virginia.edu/~ent3c/papers2/Articles%20for%20Online%20CV/Turkheimer%20%282008%29.pdf |access-date=29 October 2010 }}
<!-- Urbina2011 -->
* {{Cite book |last=Urbina |first=Susana |title=The Cambridge Handbook of Intelligence |url=https://archive.org/details/cambridgehandboo00ster |url-access=limited |editor1-last=Sternberg |editor1-first=Robert J. |editor1-link=Robert Sternberg |editor2-last=Kaufman |editor2-first=Scott Barry |date=2011 |chapter=Chapter 2: Tests of Intelligence |pages=[https://archive.org/details/cambridgehandboo00ster/page/n41 20]–38 |publisher=Cambridge University Press |location=Cambridge |isbn=9780521739115 }}
<!-- Wasserman2012 -->
* {{harvc |last=Wasserman |first=John D. |in1=Flanagan|in2=Harrison |c=Chapter 1: A History of Intelligence Assessment: The Unfinished Tapestry |pp=3–55 |year=2012}}
<!-- Wechsler1939 -->
* {{cite book |last=Wechsler |first=David |author-link=David Wechsler |title=The Measurement of Adult Intelligence |date=1939 |edition=1st |publisher=Williams & Witkins |location=Baltimore, MD |lccn=39014016}}
* {{Cite book |last=Wechsler |first=David |title=Wechsler Intelligence Scale for Children |edition=4th |location=San Antonio, TX |publisher=The Psychological Corporation |date=2003}}
* {{cite book |editor1-last=Weiner |editor1-first=Irving B. |editor2-last=Graham |editor2-first=John R. |editor3-last=Naglieri |editor3-first=Jack A. |title=Handbook of Psychology, Volume 10: Assessment Psychology |url=http://www.wiley.com/WileyCDA/WileyTitle/productCd-0470891270.html |access-date=25 November 2013 |date=2 October 2012 |publisher=John Wiley & Sons |isbn=978-0-470-89127-8 }}
<!-- WeissSaklofskePrifiteraHoldnack2006 -->
* {{cite book |editor1-last=Weiss |editor1-first=Lawrence G. |editor2-last=Saklofske |editor2-first=Donald H. |editor3-last=Prifitera |editor3-first=Aurelio |editor4-last=Holdnack |editor4-first=James A. |title=WISC-IV Advanced Clinical Interpretation |date=2006 |publisher=Academic Press |location=Burlington, MA |isbn=978-0-12-088763-7 |series=Practical Resources for the Mental Health Professional}} This practitioner's handbook includes chapters by L.G. Weiss, J.G. Harris, A. Prifitera, T. Courville, E. Rolfhus, D.H. Saklofske, J.A. Holdnack, D. Coalson, S.E. Raiford, D.M. Schwartz, P. Entwistle, V. L. Schwean, and T. Oakland.
* {{cite journal |last1=Wicherts |first1=Jelte M. |last2=Dolan |first2=Conor V. |last3=Carlson |first3=Jerry S. |last4=van der Maas |first4=Han L.J. |year=2010|title=Raven's test performance of sub-Saharan Africans: Average performance, psychometric properties, and the Flynn Effect |journal=Learning and Individual Differences |volume=20 |issue=3 |pages=135–151 |doi=10.1016/j.lindif.2009.12.001 }}
* {{cite journal |last1=Wicherts |first1=Jelte M. |last2=Dolan |first2=Conor V. |last3=van der Maas |first3=Han L.J. |year =2010|title=A systematic literature review of the average IQ of sub-Saharan Africans |journal=Intelligence |volume=38 |issue=1 |pages=1–20 |doi=10.1016/j.intell.2009.05.002 }}
{{Refend}}
==High IQ societies==
There are social organizations, some international, which limit membership to people who have high test scores. [[Mensa International]] is perhaps the most well-known of these.
== Incorrect popular usage==
The term IQ may be used in various ways which are not identical with psychometric IQ. There also various tests that claim to be IQ tests, but are not properly designed and validated.
[[Category:Intelligence quotient| ]]
==External links==
[[Category:Intelligence]]
*[https://www.amren.com/features/2021/03/genes-brains-and-intelligence-whats-new/ Genes, Brains, and Intelligence: What’s New?]
[[Category:Intelligence by type]]
*[https://www.amren.com/features/2021/01/a-startlingly-smart-book-on-intelligence/ A Startlingly Smart Book on Intelligence]
[[Category:Psychometrics]]
*[https://www.amren.com/news/2018/08/the-dangers-of-ignoring-cognitive-inequality/ The Dangers of Ignoring Cognitive Inequality]
Revision as of 03:39, 29 January 2024
An intelligence quotient, or IQ, is a score derived from one of several different tests designed to mesasure intelligence. The term "IQ" comes from the German term "Intelligenz-Quotient".
Modern mental testing began in France in the nineteenth century. It contributed to separating mental retardation from mental illness and reducing the neglect, torture, and ridicule heaped on both groups.[1]
Francis Galton, half-cousin to Charles Darwin, created the terms psychometrics and eugenics, and a method for measuring intelligence based on nonverbal sensory-motor tests. It was initially popular, but was abandoned after the discovery that it had no relationship to outcomes such as college grades.[1][2]
Alfred Binet, together with co-workers, after about 15 years of development, published the first IQ test in 1905, which focused on verbal abilities. It was intended to identify mental retardation in school children. [1]
During World War I, tests were needed for evaluating and assigning draftees. This caused a rapid development of several mental tests. Nonverbal or "Performance" tests were developed for those who could not speak English or were suspected of malingering.[1]
IQ tests soon after their creation become widely used for both research and practical applications, such as diagnosing mental retardation and for evaluation of job applicants. Many achievement or aptitude tests, such as those used for gaining admission to higher education, correlate highly with IQ tests. IQ tests have also been highly controversial due to observed group differences, such as between races, as well as the use of IQ tests results in debates regarding issues such as eugenics and immigration.
Mental age vs. modern method
The term "IQ" comes from German "Intelligenz-Quotient", coined by the German psychologist William Stern in 1912, who proposed a method of scoring children's intelligence tests. He calculated the IQ score as the quotient of the "mental age" (the age group which scored such a result on average) of the test-taker and the "chronological age" of the test-taker, multiplied by 100. This method has several problems such as not working for adults.
Modern tests therefore use a different procedure. When an IQ test is constructed, a standardization sample representative of the general population takes the test. The median result is defined to be equivalent to 100 IQ points. In almost all modern tests, a standard deviation of the results is defined to be equivalent to 15 IQ points. When a subject takes an IQ test, the result is compared to the results of the standardization sample and the subject is given an IQ score equal to those with the same test result in the standardization sample. Although the term "IQ" is still in common use, it is now an inaccurate description, mathematically speaking, since a quotient is no longer involved.
The values of 100 and 15 were chosen in order to get scores somewhat similar to those in the older type of test. Likely as a part of the rivalry between the Binet and the Wechsler IQ tests, the Binet test until 2003 chose to have 16 for one SD, causing considerable confusion. Today almost all tests use 15 for one SD. Modern scores are sometimes referred to as "deviation IQs", while the older method age-specific scores are referred to as "ratio IQs".[1]
Modern tests
Approximately 95% of the population have scores within two standard deviations (SD) of the average result of 100. If one SD is 15 points, as is common in almost all modern tests, then 95% of the population are within a range of 70 to 130. Alternatively, two-thirds of the population have IQ scores within one SD of the mean, i.e. within the range 85-115.
IQ scales are ordinally scaled. While one standard deviation is 15 points, and two SDs are 30 points, and so on, this does not imply that cognitive ability is linearly related to IQ, such that IQ 50 means half the cognitive ability of IQ 100. In particular, IQ points are not percentage points.
Reliability and validity
IQ tests are generally regarded as having high statistical reliability. A high reliability implies that while test-takers can have varying scores on differing occasions when taking the same test and can vary in scores on different IQ tests taken at the same age, the scores generally agree. A test-taker's score on any one IQ test is surrounded by an error band that shows, to a specified degree of confidence, what the test-taker's true score is likely to be. For modern tests, the standard error of measurement is about 3 points, or in other words, the odds are about 2 out of 3 that a person's true IQ is in range from 3 points above to 3 points below the test IQ. Another description is that there is a 95% chance that the true IQ is in range from 4-5 points above to 4-5 points below the test IQ, depending on the test in question. Clinical psychologists generally regard them as having sufficient statistical validity for many clinical purposes.[1][3][4]
The general intelligence factor (g)
Non-IQ psychometric tests are primarily not intended to measure intelligence itself, but some closely related construct, such as scholastic aptitude. In the United States, examples include the SSAT, the SAT, the ACT, the GRE, the MCAT, the LSAT, and the GMAT.[5]
There are many different kinds of IQ and non-IQ psychometric tests, using a wide variety of methods. Some tests are visual, some are verbal, some tests only use of abstract-reasoning problems, and some tests concentrate on arithmetic, spatial imagery, reading, vocabulary, memory or general knowledge. A person doing well on one test tends to do well on the other tests. Thus, the test results are correlated with one another. The psychologist Charles Spearman made the first formal factor analysis of correlations between the tests in the early 20th century. He found that a single common factor explained for the positive correlations among tests. He called this factor g, for "general intelligence", "general mental ability", or "general intelligence factor". In addition, there are also smaller, specific factors or abilities for specific areas, labeled s. This is a theory still accepted in principle by many psychometricians. In any collections of IQ tests, by definition the test that best measures g is the one that has the highest correlations with all the others. Most of these "g-loaded" tests typically involve some form of abstract reasoning. Therefore, Spearman and others have regarded g as the perhaps genetically determined real essence of intelligence. This is still a common, but not definitely proven, theory. Other factor analyses of the data with different results are possible. Some psychometricians regard g as a statistical artifact. The accepted best measure of g is Raven's Progressive Matrices, which is a test of visual reasoning.[6][6]
An alternative interpretation of the high correlations between IQ and non-IQ psychometric tests is the "mutualism model". It argues that intelligence depends on several independent mechanisms, none of which influences performance on all cognitive tests. These mechanisms support each other so that efficient operation of one of them makes efficient operation of the others more likely, thereby creating the positive correlations.[7]
Cattell-Horn-Carroll theory
Many of the broad, recent IQ tests have been greatly influenced by the Cattell-Horn-Carroll theory. It is argued to reflect much of what is known about intelligence from research. A hierarchy of factors is used. g is at the top. Under it, there are 10 broad abilities, that in turn are subdivided into 70 narrow abilities. The broad abilities are: [1]
Fluid Intelligence (Gf): includes the broad ability to reason, form concepts, and solve problems using unfamiliar information or novel procedures.
Crystallized Intelligence (Gc): includes the breadth and depth of a person's acquired knowledge, the ability to communicate one's knowledge, and the ability to reason using previously learned experiences or procedures.
Quantitative Reasoning (Gq): the ability to comprehend quantitative concepts and relationships and to manipulate numerical symbols.
Reading & Writing Ability (Grw): includes basic reading and writing skills.
Short-Term Memory (Gsm): is the ability to apprehend and hold information in immediate awareness and then use it within a few seconds.
Long-Term Storage and Retrieval (Glr): is the ability to store information and fluently retrieve it later in the process of thinking.
Visual Processing (Gv): is the ability to perceive, analyze, synthesize, and think with visual patterns, including the ability to store and recall visual representations.
Auditory Processing (Ga): is the ability to analyze, synthesize, and discriminate auditory stimuli, including the ability to process and discriminate speech sounds that may be presented under distorted conditions.
Processing Speed (Gs): is the ability to perform automatic cognitive tasks, particularly when measured under pressure to maintain focused attention.
Decision/Reaction Time/Speed (Gt): reflect the immediacy with which an individual can react to stimuli or a task (typically measured in seconds or fractions of seconds; not to be confused with Gs, which typically is measured in intervals of 2–3 minutes).
Modern tests do not necessarily measure of all of these broad abilities. For example, Gq and Grw may be seen as measures of school achievement and not IQ.[1] Gt may be difficult to measure without special equipment.
g was earlier often subdivided into only Gf and Gc, which were thought to correspond to the Nonverbal or Performance subtests and Verbal subtests in earlier versions of the popular Wechsler IQ test. More recent research has shown the situation to be more complex. [1]
Modern comprehensive IQ tests no longer give a single score. Although they still give an overall score, they now also give scores for many of these more restricted abilities, identifying particular strengths and weaknesses of an individual.[1]
IQ can change to some degree over the course of childhood.[1] However, in one longitudinal study, the mean IQ scores of tests at ages 17 and 18 were correlated at r=.86 with the mean scores of tests at ages 5, 6 and 7 and at r=.96 with the mean scores of tests at ages 11, 12 and 13.[5]
IQ scores for children are relative to children of a similar age. That is, a child of a certain age does not do as well on the tests as an older child or an adult with the same IQ. But relative to persons of a similar age, or other adults in the case of adults, they do equally well if the IQ scores are the same.[5]
IQ is highly stable during life and has been largely resistant to interventions aimed to change it long-term and substantially.[8][9][10]
There have been a variety of studies of IQ and aging since the norming of the first Wechsler Intelligence Scale drew attention to IQ differences in different age groups of adults. Current consensus is that fluid intelligence generally declines with age after early adulthood, while crystallized intelligence remains intact. Both cohort effects (the birth year of the test-takers) and practice effects (test-takers taking the same form of IQ test more than once) must be controlled for to gain accurate data. It is unclear whether any lifestyle intervention can preserve fluid intelligence into older ages.[1]
The peak of capacity for both fluid intelligence and crystallized intelligence occurs at age 26. This is followed by a slow decline.[11]
Heritability of IQ
Environmental and genetic factors play a role in determining IQ. Their relative importance have been the subject of much research and debate.
Heritability
"Heritability" is defined as the proportion of variance of a trait that is attributable to genetic factors within a defined population in a specific environment. A heritability of 1 indicates that all variation is genetic in origin and a heritability of 0 indicates that none of the variation is genetic. The heritability figure may change if the balance between genetic and environmental factors change. For example, if the environment becomes more similar for everyone in the group, then genetic factors will determine more of the variation and the heritability figure will increase.[8]
Heritability can be estimated using twin studies.[12][13][14]
The report "Intelligence: Knowns and Unknowns" stated that in the United States, heritability has been estimated to be 0.75 in adults and 0.45 in children. Newer estimates indicate that heritability might be as high as 0.80 in adulthood.[15][16]
That heritability increases with age may be due persons with increasing age being increasingly able to choose their own environment. People with a genetically higher IQ may choose more intellectually stimulating environments, which reinforce their already high IQ, while the opposite occurs for people with low IQ.[5] Other researchers have argued for an adult heritability of 0.5.[1]
Brain size have in studies had a heritability of 0.5-0.8.[17]
A high heritability of a trait does not mean that environmental effects such as learning are not involved. Vocabulary size, for example, is very substantially heritable (and highly correlated with general intelligence), although every word in an individual's vocabulary is learned. In a society in which plenty of words are available in everyone's environment, especially for individuals who are motivated to seek them out, the number of words that individuals actually learn depends to a considerable extent on their genetic predispositions and thus heritability is high.[5]
If the environment relevant to a given trait changes in a way that affects all members of the population equally, the mean value of the trait will change without any change in its heritability (because the variation or differences among individuals in the population will stay the same). This has evidently happened for height: the heritability of stature is high, but average heights continue to increase.[5]
Since heritability increases during childhood and adolescence, one should be cautious drawing conclusions regarding the role of genetics and environment from studies where the participants are not followed until they are adults. Furthermore, there may be differences regarding the effects on g and on non-g factors, with g possibly being harder to affect and environmental interventions disproportionately affecting non-g factors.[10]
Shared family environment
There are aspects of environments that family members have in common (for example, characteristics of the home). This shared family environment accounts for 0.25–0.35 of the variation in IQ in childhood. By late adolescence, it is quite low (zero in some studies). There is a similar effect for several other psychological traits. These studies have not looked at the effects of extreme environments, such as in abusive families.[5][18][19][20]
By age 10, genetic variance is larger than shared environmental variance and heritability of IQ reaches an asymptote at about 0.80 at 18-20 years of age and continuing at that level well into adulthood.[16]
Non-shared family environment and environment outside the family
Although parents treat their children differently, such differential treatment explains only a small amount of non-shared environmental influence. One suggestion is that children react differently to the same environment due to different genes. Another influence is the impact of peers and other experiences outside the family.[5][19] Accidents and diseases not affecting the family equally are other examples.
Correlations
Below are presented correlations between different groups of people demonstrating that IQ scores are more similar for people who are more similar genetically. Note that even the same person tested twice do not get a perfect correlation, but a correlation of 0.95.[1]
Reared/living together
Identical twins—Reared together 0.86
Fraternal twins—Reared together 0.55
Biological siblings—Reared together 0.47
Parent-child—Living together 0.42
Unrelated children—Reared together 0.30
Adoptive parent–child—Living together 0.19
Not reared/living together
Identical twins—Reared apart 0.76
Fraternal twins—Reared apart 0.35
Biological siblings—Reared apart 0.24
Parent-child—Living apart 0.22
Regression toward the mean
Regression towards the mean is a statistical phenomenon that occurs when an outcome is determined by many independent factors. If an outcome is extreme, then this occurred because most of the independent factors agreed by chance. This is unlikely to occur again, so the next outcome is likely to be less extreme. If IQ is determined by many factors, genetic and/or environmental, then they must mostly agree in the same direction in order to produce an extreme IQ. The child of a person with an extreme IQ is unlikely to have all the factors agree so similarly, so the child is on average likely to have a less extreme IQ.[1]
Average IQ for parents and children from different occupations
Average IQ for different occupations groups and the average IQ of children with two parents from the same occupational group.
Professional and technical: 112
Their children: 108
Managers and administrators: 104
Their children: 103
Clerical workers; sales workers; skilled workers, craftsmen, and foreme: 101
Their children: 100
Semi-skilled workers: 92
Their children: 96
Unskilled workers: 87
Their children: 87
Brain shape
People who are more similar genetically also have more similar shaped brains, according a study using modern imaging technology. This was particularly true for the frontal lobes and areas involved in speech. These areas were also associated with intelligence in the study.[17]
Interventions
In the middle of the twentieth century, a large number of early childhood intervention programs, such as the Head Start program, were tried with one expectation being that these would eliminate or substantially reduce various IQ gaps, including the racial IQ gaps. Large initial IQ gains were also found, but the initial enthusiasm declined, as it become apparent that the IQ or achievement tests gains soon faded away as the children grew older. For example, a 1995 review of 36 such early intervention programs found no consistent pattern of lasting effects on IQ or achievement tests. There are a few exceptions, but these have been criticized on various grounds.[21] It has been speculated that such programs would be more likely to produce long-term IQ gains, if they taught children how to replicate outside the program the kinds of cognitively demanding experiences that may have produced the IQ gains, while they were in the programs.[22][23]
Many other interventions have also produced minor gains in IQ, but lasting gains from long-term follow-up of an experimental study is lacking. For example, listening to classical music was found to increase spatial ability in one study. However, this effect is a short term effect and usually lasts no longer than 10 to 15 minutes. This phenomenon was coined the Mozart effect.[24] Another study found that having received musical training in childhood correlated with higher than average IQ in adults. However, this was not a follow-up of an experimental study, which means that there may be other explanations, such as those who already had a higher IQ being more likely to take and continue with music training.[25] A newer study strongly suggests that associations between music practice and IQ in the general population are non-causal in nature.[26]
IQ and brain anatomy
Meta-analyses and reviews show a correlation between brain size and IQ. A 2009 literature review stated that in 28 samples using modern brain imaging techniques the mean brain size/g correlation was 0.40 (N = 1,389). In 59 samples using external head size measures it was 0.20 (N = 63,405). In 6 studies that corrected for that different IQ subtests measure g unequally well, the mean correlation was 0.63. Some studies have found the whole brain to be important for g while others have found the frontal lobes to be particularly important. Two studies founds correlations of 0.48 and 0.56 between brain size and the number of neurons in the cerebral cortex (based on counting in representative areas).[27][17]
In 2014, a large meta-analysis showed robust and significant positive associations of brain volume and IQ (r = .24) but also states that older studies overestimated the correlation.[28]
A 2009 review stated that the majority of data shows that both gray matter and white matter volume correlate with IQ, but the correlation is stronger for gray matter. Increased number of neurons in the gray matter may explain the higher correlation, but not necessarily so since glucose consumption and intelligence measures correlate negatively, which may mean intelligent individuals use their neurons more efficiently, such as being more efficient in their formation of synapses between neurons, which help to create more efficient neural circuitry. The white matter correlation may be due to more myelination or better control of pH and thus enhanced neural transmission. For more specific regions, the most frequently replicated positive correlations appear localized in the lateral and medial frontal lobe cortex. Positive correlations are also found with volume in many other areas. Cortical thickness may be a better measure than gray matter volume, although this may vary with age, with an initially negative correlation in early childhood becoming positive later. The explanation may again be that more intelligent individuals manage their synapses better. During evolution, not only brain size, but also brain folding has increased, which has increased the surface area. Convolution data may support "The Parieto-Frontal Integration Theory", which see medial cortex structures as particularly important. Volume of the corpus callosum or subareas were found to be important in several studies, which may be due to more efficient inter-hemispheric information transfer.[29]
Template:IQ and associations social outcomes
Outside of academic research and health care, IQ testing is often done due to its ability to predict academic achievement, future job performance, and other variables of interest. Academic research has also examined these associations, as well as the associations of IQ with many other social outcomes, such as income and wealth.
The following sections discuss associations between an individual's IQ and social outcomes. The associations between the average IQ of a group and social outcomes may be even more important.[30]
Real-life accomplishments
Average adult IQ associated with real-life accomplishments:[1]
MDs or PhDs 125
College graduates 115
1–3 years of college 105-110
Clerical and sales workers 100-105
High school graduates, skilled workers (e.g., electricians, cabinetmakers) 100
1–3 years of high school (completed 9–11 years of school) 95
Adults can harvest vegetables, repair furniture 60
Adults can do domestic work, simple carpentry 50
Adults can mow lawns, do simple laundry 40
There is considerable variation within and overlap between these categories. People with high IQs are found at all levels of education and occupational categories. The biggest difference occurs for low IQs, with only an occasional college graduate or professional scoring below 90.[1]
"Explained variance"
Many of the arguments and criticisms regarding the associations between IQ and social outcomes assume that how much of the variance of an outcome that can be explained by IQ (explained variance) can be calculated as the square of the correlation coefficient between IQ and the outcome. This way of calculating explained variance has been criticized as inappropriate for most social scientific work.[31]
Other tests
A review found that certain IQ tests had an average correlation of about 0.7 with achievement tests.[1][32] Another study found a correlation of 0.82 between g and SAT scores.[33]
A study looking at English students found a correlation of 0.81 between g and GCSE scores and that the explained variance ranged "from 58.6% in Mathematics and 48% in English to 18.1% in Art and Design" (see criticism of explained variance calculation above).[34]
School performance
The 1995 report "Intelligence: Knowns and Unknowns" stated that wherever it has been studied, children with high scores on tests of intelligence tend to learn more of what is taught in school than their lower-scoring peers. The correlation between IQ scores and grades is about 0.5. This means that the explained variance is 25%. Achieving good grades depends on many factors other than IQ, such as "persistence, interest in school, and willingness to study" (see criticism of explained variance calculation above).[5]
Job performance
One review stated that "for hiring employees without previous experience in the job the most valid predictor of future performance is general mental ability."[35] The validity of IQ as a predictor of job performance is above zero for all work studied to date, but varies with the type of job and across different studies, ranging from 0.2 to 0.6.[36] The correlations were higher when the unreliability of measurement methods were controlled for.[5] While IQ is more strongly correlated with reasoning and less so with motor function,[37] IQ-test scores predict performance ratings in all occupations.[35] That said, for highly qualified activities (research, management) low IQ scores are more likely to be a barrier to adequate performance, whereas for minimally-skilled activities, athletic strength (manual strength, speed, stamina, and coordination) are more likely to influence performance.[35] It is largely mediated through the quicker acquisition of job-relevant knowledge that IQ predicts job performance.
In establishing a causal direction to the link between IQ and work performance, longitudinal studies suggest that IQ exerts a causal influence on future academic achievement, whereas academic achievement does not substantially influence future IQ scores.[38] Other studies state that general cognitive ability, but not specific ability scores, predict academic achievement, with the exception that processing speed and spatial ability predict performance on the SAT math beyond the effect of general cognitive ability.[39]
Other studies show that ability and performance for jobs are linearly related, such that at all IQ levels, an increase in IQ translates into a concomitant increase in performance.[40]
Some US police departments have set a maximum IQ score for new officers (for example: 125, in New London, CT), under the argument that those with overly-high IQs will become bored and exhibit high turnover in the job. This policy has been challenged as discriminatory, but upheld by at least one US District court.[41]
The 1995 report "Intelligence: Knowns and Unknowns" stated that since the correlation is not extremely high other factors such as interpersonal skills and aspects of personality are probably also important, but at the time of the report there were no equally reliable instruments to measure them. Sometimes IQ scores have been described as the "best available predictor" of job performance.[5]
Military performance
The US military has minimum enlistment standards at about the IQ 85 level. There have been two experiments with lowering this to 80, but in both cases these men could not master soldiering well enough to justify their costs.[42]
During the Vietnam War and a shortage of men to draft, "Secretary of Defense Robert McNamara arrived at a more permanent workaround. The US government would draft men whose low IQ scores had hitherto disqualified them from military service. This stratagem—codenamed ‘Project 100,000’—is detailed along with its dreadful consequences in the book McNamara’s Folly by the late Hamilton Gregory. Gregory witnessed the fate of the low-IQ draftees firsthand while he was a soldier in Vietnam. These draftees—cruelly nicknamed ‘McNamara’s Morons’—were generally capable of completing simple tasks, but even a simple task imperfectly executed can be disastrous in warfare. [...] What happened to many of the 100,000 (whose actual total exceeded 350,000) is not hard to predict. “To survive in combat you had to be smart,” Gregory writes. “You had to know how to use your rifle effectively and keep it clean and operable, how to navigate through jungles and rice paddies without alerting the enemy, and how to communicate and cooperate with other members of your team.” Fulfilling all or any one of these minimum requirements for survival in a battlefield is contingent upon a certain level of verbal and visuospatial intelligence, which many of McNamara’s draftees did not possess. This ultimately led to their fatality rate in Vietnam exceeding that of other GIs by a factor of three."[43]
Income and wealth
The report 1995 Intelligence: Knowns and Unknowns stated that IQ scores account for (explained variance) about one-fourth of the social status variance and one-sixth of the income variance (a correlation of 0.4). Statistical controls for parental SES eliminate about a quarter of this predictive power (see the criticism of the explained variance calculation above).[5] This has been criticized as based on young adults (many of whom have not yet completed their education). Arthur Jensen argued that although the correlation between IQ and income averages a moderate 0.4 (one sixth or 16% of the variance), the relationship increases with age, and peaks at middle age when people have reached their maximum career potential.[44]
A 2002 study further examined the impact of non-IQ factors on income and argued that an individual's location, inherited wealth, race, and schooling are more important as factors in determining income than IQ.[45]
Researchers have argued that "in economic terms it appears that the IQ score measures something with decreasing marginal value. It is important to have enough of it, but having lots and lots does not buy you that much."[46]
It has also been argued that while higher IQ increases income, it has little effect on absolute wealth. Very rich people may have achieved their money through inheritance or entrepreneurship. Thus, their wealth has not been achieved by accumulating high salaries.[47]
IQ and crime
The 1995 report Intelligence: Knowns and Unknowns stated that the correlation between IQ and crime was -0.2. It was -0.19 between IQ scores and number of juvenile offenses in a large Danish sample; with social class controlled, the correlation dropped to -0.17. A correlation of 0.20 would mean that the explained variance is less than 4%. Similarly, the correlations for most "negative outcome" variables was typically smaller than .20 (see criticism of explained variance calculation above). The report stated that it is important to realize that the causal links between psychometric ability and social outcomes may be indirect. Children with poor scholastic performance may feel alienated. Consequently, they may be more likely to engage in delinquent behavior, compared to other children who do well.[5]
In his book The g Factor (1998), Arthur Jensen cited data which showed that, regardless of race, people with IQs between 70 and 90 have higher crime rates than people with IQs below or above this range, with the peak range being between 80 and 90. This is a non-linear relationship which would mean that the overall correlation would be misleadingly low.
The 2009 Handbook of Crime Correlates stated that reviews have found that around eight IQ points, or 0.5 SD, separate criminals from the general population, especially for persistent serious offenders. It has been suggested that this simply reflects that "only dumb ones get caught" but there is similarly a negative relation between IQ and self-reported offending. That children with conduct disorder have lower IQ than their peers "strongly argue" against the theory.[48]
A large (n=21513) Finnish study showed a mostly linear association between IQ and criminal offending.[49]
Religiosity and IQ
Several large studies in the United States have found significant but relatively weak associations between a lower IQ and religiosity. The relationship has remained after controlling for education and was strongest for fundamentalism.[50][51][52]
Among the most controversial issues related to the IQ is the observation that average IQ scores and/or more narrow ability average test scores vary between ethnic/racial groups and between the sexes. While there is little scholarly debate about the existence of some of these differences, their causes remain highly controversial, both within academia and in the public sphere.
The report 1995 Intelligence: Knowns and Unknowns stated that most tests have been constructed to give equal overall scores to men and women. Men have a large advantage in visual-spatial tasks like mental rotation and spatiotemporal tasks like tracking a moving object through space. This explains their better performance in tasks involving aiming and throwing. Males also score higher on quantitative, mechanical,[53] and proportional reasoning. Females score higher on verbal tasks. Many more males than females are diagnosed with dyslexia and reading disabilities as well as stuttering. Sex hormones have been implicated as a cause of these differences.[5]
Some more recent studies have found somewhat higher average IQ for men than for women, corresponding to the on average somewhat larger brains of men.[54][55] For normal distributions, such as IQ and height, if there is a small average difference, then it will be amplified at the extremes. There is a 30:1 ratio of men to women who have a height of 5 feet ten inches; there is a 2000:1 ratio for a height of 6 feet.[56][57]
Studies have also found greater variance in the scores of men compared to that of women.[58][59] This would also cause greater differences between men and women at extreme IQ scores.
Public policies directly using IQ
A diagnosis of mental retardation is in part based on the results of IQ testing. Borderline intellectual functioning is a categorization where a person has below average cognitive ability (an IQ of 71–85), but the deficit is not as severe as mental retardation (70 or below).
Internationally, certain public policies, such as improving nutrition and prohibiting neurotoxins, have as one of their goals raising, or preventing a decline of, IQ.
In the United States, certain public policies and laws regarding military service,[60][61] education, public benefits,[62] capital punishment,[63] and employment incorporate an individual's IQ into their decisions. However, in the case of Griggs v. Duke Power Co. in 1971, for the purpose of minimizing employment practices that disparately impacted racial minorities, the U.S. Supreme Court banned the use of IQ tests in employment, except in very rare cases.[64]
Criticism and views
Relationship between IQ and intelligence
Template:Main
IQ is by far the most researched approach to intelligence and by far the most widely used in practical settings, due to its documented predictive ability. However, there may be more to intelligence in a broad sense than IQ, with creativity being one example of a trait that may be different from IQ.
Psychologist Arthur Jensen has rejected this criticism by Gould and also argued that even if g was replaced by a model with several intelligences, then this would change the situation less than expected. All tests of cognitive ability would continue to be highly correlated with one another, as they are currently, and there would still be a Black-White gap on cognitive tests.[67]James R. Flynn, an intelligence researcher known for his criticisms of racial theories of intelligence, similarly argued that "Gould's book evades all of [Arthur] Jensen's best arguments for a genetic component in the black-white IQ gap by positing that they are dependent on the concept of g as a general intelligence factor. Therefore, Gould believes that if he can discredit g no more need be said. This is manifestly false. Jensen's arguments would bite no matter whether blacks suffered from a score deficit on one or 10 or 100 factors."[68]
Early IQ research
Various aspects of early IQ research have sometimes been cited as criticisms. A reply has been that drawing conclusions from early intelligence research is like condemning the auto industry by criticizing the performance of the first automobiles.[69]
Test bias
Regarding various argued issues in connection with race and intelligence research, such as test bias against certain groups, see the article about the research.
Outdated methodology
A 2006 article stated that contemporary psychological research often did not reflect substantial recent developments in psychometrics and "bears an uncanny resemblance to the psychometric state of the art as it existed in the 1950s." However, it also states that an "increasing number of psychometrically informed research papers that have been appearing in the past decade."[70]
High IQ societies
There are social organizations, some international, which limit membership to people who have high test scores. Mensa International is perhaps the most well-known of these.
Incorrect popular usage
The term IQ may be used in various ways which are not identical with psychometric IQ. There also various tests that claim to be IQ tests, but are not properly designed and validated.
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↑Jones, Garett, National IQ and National Productivity: The Hive Mind Across Asia (June 2011). Asian Development Review, Vol. 28, No. 1, pp. 51-71, 2011. Available at SSRN: http://ssrn.com/abstract=1869472
↑Gottfredson, L. S. (2006). Social consequences of group differences in cognitive ability (Consequencias sociais das diferencas de grupo em habilidade cognitiva). In C. E. Flores-Mendoza & R. Colom (Eds.), Introducau a psicologia das diferencas individuais (pp. 433-456). Porto Allegre, Brazil: ArtMed Publishers.
↑Handbook of Crime Correlates; Lee Ellis, Kevin M. Beaver, John Wright; 2009; Academic Press
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↑Helmuth Nyborg, The intelligence–religiosity nexus: A representative study of white adolescent Americans, Intelligence, Volume 37, Issue 1, January–February 2009, Pages 81-93, ISSN 0160-2896, http://dx.doi.org/10.1016/10.1016/j.intell.2008.08.003.
↑Satoshi Kanazawa. Why Liberals and Atheists Are More Intelligent. Social Psychology Quarterly March 2010 73: 33-57, first published on February 16, 2010 http://dx.doi.org/10.1177/0190272510361602
↑Gary J. Lewis, Stuart J. Ritchie, Timothy C. Bates, The relationship between intelligence and multiple domains of religious belief: Evidence from a large adult US sample, Intelligence, Volume 39, Issue 6, November–December 2011, Pages 468-472, ISSN 0160-2896, http://dx.doi.org/10.1016/10.1016/j.intell.2011.08.002.