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Discussions of race and intelligence – specifically regarding claims of differences in intelligence along racial lines – have appeared in both popular science and academic research since the modern concept of race was first introduced. With the inception of IQ testing in the early 20th century, differences in average test performance between racial groups have been observed, though these differences have fluctuated and in many cases steadily decreased over time. Complicating the issue, modern science has concluded that race is a socially constructed phenomenon rather than a biological reality, and there exist various conflicting definitions of intelligence. In particular, the validity of IQ testing as a metric for human intelligence is disputed. Today, the scientific consensus is that genetics does not explain differences in IQ test performance between groups, and that observed differences are environmental in origin.

Pseudoscientific claims of inherent differences in intelligence between races have played a central role in the history of scientific racism. The first tests showing differences in IQ scores between different population groups in the United States were the tests of United States Army recruits in World War I. In the 1920s, groups of eugenics lobbyists argued that these results demonstrated that African Americans and certain immigrant groups were of inferior intellect to Anglo-Saxon white people, and that this was due to innate biological differences. In turn, they used such beliefs to justify policies of racial segregation. However, other studies soon appeared, contesting these conclusions and arguing that the Army tests had not adequately controlled for environmental factors, such as socioeconomic and educational inequality between the groups.

Later observations of phenomena such as the Flynn effect and disparities in access to prenatal care highlighted ways in which environmental factors affect group IQ differences. In recent decades, as understanding of human genetics has advanced, claims of inherent differences in intelligence between races have been broadly rejected by scientists on both theoretical and empirical grounds.

History of the controversy

Claims of differences in intelligence between races have been used to justify colonialism, slavery, racism, social Darwinism, and racial eugenics. Claims of intellectual inferiority were used to justify British wars and colonial campaigns in Asia. Racial thinkers such as Arthur de Gobineau in France relied crucially on the assumption that black people were innately inferior to white people in developing their ideologies of white supremacy. Even Enlightenment thinkers such as Thomas Jefferson, a slave owner, believed black people to be innately inferior to white people in physique and intellect. At the same time in the United States, prominent examples of African-American genius such the autodidact and abolitionist Frederick Douglass, the pioneering sociologist W. E. B. Du Bois, and the poet Paul Laurence Dunbar stood as high-profile counterexamples to widespread stereotypes of black intellectual inferiority. In Britain, Japan's military victory over Russia in the Russo-Japanese War began to reverse negative stereotypes of "oriental" inferiority.

Early IQ testing

The first practical intelligence test, the Binet-Simon Intelligence Test, was developed between 1905 and 1908 by Alfred Binet and Théodore Simon in France for school placement of children. Binet warned that results from his test should not be assumed to measure innate intelligence or used to label individuals permanently. Binet's test was translated into English and revised in 1916 by Lewis Terman (who introduced IQ scoring for the test results) and published under the name Stanford–Binet Intelligence Scales. In 1916 Terman wrote that Mexican-Americans, African-Americans, and Native Americans have a mental "dullness seems to be racial, or at least inherent in the family stocks from which they come."

The US Army used a different set of tests developed by Robert Yerkes to evaluate draftees for World War I. Based on the Army's data, prominent psychologists and eugenicists such as Henry H. Goddard, Harry H. Laughlin, and Princeton professor Carl Brigham wrote that people from southern and eastern Europe were less intelligent than native-born Americans or immigrants from the Nordic countries, and that black Americans were less intelligent than white Americans. The results were widely publicized by a lobby of anti-immigration activists, including the conservationist and theorist of scientific racism Madison Grant, who considered the so-called Nordic race to be superior, but under threat because of immigration by "inferior breeds." In his influential work, A Study of American Intelligence, psychologist Carl Brigham used the results of the Army tests to argue for a stricter immigration policy, limiting immigration to countries considered to belong to the "Nordic race".

In the 1920s, some US states enacted eugenic laws, such as Virginia's 1924 Racial Integrity Act, which established the one-drop rule (of 'racial purity') as law. Many scientists reacted negatively to eugenicist claims linking abilities and moral character to racial or genetic ancestry. They pointed to the contribution of environment (such as speaking English as a second language) to test results. By the mid-1930s, many psychologists in the US had adopted the view that environmental and cultural factors played a dominant role in IQ test results. The psychologist Carl Brigham repudiated his own earlier arguments, explaining that he had come to realize that the tests were not a measure of innate intelligence.

Discussions of the issue in the United States, especially in the writings of Madison Grant, influenced German Nazi claims that the "Nordics" were a "master race." As American public sentiment shifted against the Germans, claims of racial differences in intelligence increasingly came to be regarded as problematic. Anthropologists such as Franz Boas, Ruth Benedict, and Gene Weltfish did much to demonstrate that claims about racial hierarchies of intelligence were unscientific. Nonetheless, a powerful eugenics and segregation lobby funded largely by textile-magnate Wickliffe Draper continued to use intelligence studies as an argument for eugenics, segregation, and anti-immigration legislation.

The Pioneer Fund and The Bell Curve

As the desegregation of the American South gained traction in the 1950s, debate about black intelligence resurfaced. Audrey Shuey, funded by Draper's Pioneer Fund, published a new analysis of Yerkes' tests, concluding that black people really were of inferior intellect to white people. This study was used by segregationists to argue that it was to the advantage of black children to be educated separately from the superior white children. In the 1960s, the debate was revived when William Shockley publicly defended the view that black children were innately unable to learn as well as white children. Arthur Jensen expressed similar opinions in his Harvard Educational Review article, "How Much Can We Boost IQ and Scholastic Achievement?," which questioned the value of compensatory education for African-American children. He suggested that poor educational performance in such cases reflected an underlying genetic cause rather than lack of stimulation at home or other environmental factors.

Another revival of public debate followed the appearance of The Bell Curve (1994), a book by Richard Herrnstein and Charles Murray that supported the general viewpoint of Jensen. A statement in support of Herrnstein and Murray titled "Mainstream Science on Intelligence," was published in The Wall Street Journal with 52 signatures. The Bell Curve also led to critical responses in a statement titled "Intelligence: Knowns and Unknowns" of the American Psychological Association and in several books, including The Bell Curve Debate (1995), Inequality by Design (1996) and a second edition of The Mismeasure of Man (1996) by Stephen Jay Gould.

Some of the authors proposing genetic explanations for group differences have received funding from the Pioneer Fund, which was headed by J. Philippe Rushton until his death in 2012. Arthur Jensen, who jointly with Rushton published a 2005 review article arguing that the difference in average IQs between blacks and whites is partly due to genetics, received $1.1 million in grants from the Pioneer Fund. According to Ashley Montagu, "The University of California's Arthur Jensen, cited twenty-three times in The Bell Curve's bibliography, is the book's principal authority on the intellectual inferiority of blacks."

The Southern Poverty Law Center lists the Pioneer Fund as a hate group, citing the fund's history, its funding of race and intelligence research, and its connections with racist individuals. Other researchers have criticized the Pioneer Fund for promoting scientific racism, eugenics and white supremacy.

Conceptual issues

Intelligence and IQ

The concept of intelligence and the degree to which intelligence is measurable are matters of debate. There is no consensus about how to define intelligence; nor is it universally accepted that it is something that can be meaningfully measured by a single figure. A recurring criticism is that different societies value and promote different kinds of skills and that the concept of intelligence is therefore culturally variable and cannot be measured by the same criteria in different societies. Consequently, some critics argue that it makes no sense to propose relationships between intelligence and other variables.

Correlations between scores on various types of IQ tests led English psychologist Charles Spearman to propose in 1904 the existence of an underlying factor, which he referred to as "g" or "general intelligence", a trait which is supposed to be innate. Another proponent of this view is Arthur Jensen. This view, however, has been contradicted by a number of studies showing that education and changes in environment can significantly improve IQ test results.

Other psychometricians have argued that, whether or not there is such a thing as a general intelligence factor, performance on tests relies crucially on knowledge acquired through prior exposure to the types of tasks that such tests contain. This means that comparisons of test scores between persons with widely different life experiences and cognitive habits do not reveal their relative innate potentials.

Race

The consensus view among geneticists, biologists and anthropologists is that race is a sociopolitical phenomenon rather than a biological one, a view supported by considerable genetics research. The current mainstream view is that race is a social construction based on folk ideologies that construct groups based on social disparities and superficial physical characteristics. A 2023 consensus report from the National Academies of Sciences, Engineering, and Medicine stated: "In humans, race is a socially constructed designation, a misleading and harmful surrogate for population genetic differences, and has a long history of being incorrectly identified as the major genetic reason for phenotypic differences between groups."

The concept of human "races" as natural and separate divisions within the human species has also been rejected by the American Anthropological Association. The official position of the AAA, adopted in 1998, is that advances in scientific knowledge have made it "clear that human populations are not unambiguous, clearly demarcated, biologically distinct groups" and that "any attempt to establish lines of division among biological populations both arbitrary and subjective." A more recent statement from the American Association of Physical Anthropologists (2019) declares that "Race does not provide an accurate representation of human biological variation. It was never accurate in the past, and it remains inaccurate when referencing contemporary human populations. Humans are not divided biologically into distinct continental types or racial genetic clusters."

Anthropologists such as C. Loring Brace, the philosophers Jonathan Kaplan and Rasmus Winther, and the geneticist Joseph Graves, have argued that the cluster structure of genetic data is dependent on the initial hypotheses of the researcher and the influence of these hypotheses on the choice of populations to sample. When one samples continental groups, the clusters become continental, but if one had chosen other sampling patterns, the clustering would be different. Weiss and Fullerton have noted that if one sampled only Icelanders, Mayans and Maoris, three distinct clusters would form and all other populations could be described as being clinally composed of admixtures of Maori, Icelandic and Mayan genetic materials. Kaplan and Winther conclude that while racial groups are characterized by different allele frequencies, this does not mean that racial classification is a natural taxonomy of the human species, because multiple other genetic patterns can be found in human populations that crosscut racial distinctions. Moreover, the genomic data underdetermines whether one wishes to see subdivisions (i.e., splitters) or a continuum (i.e., lumpers). Under Kaplan and Winther's view, racial groupings are objective social constructions (see Mills 1998) that have conventional biological reality only insofar as the categories are chosen and constructed for pragmatic scientific reasons. Sternberg, Grigorenko & Kidd (2005) argue that the social construction of race derives not from any valid scientific basis but rather "from people's desire to classify."

In studies of human intelligence, race is almost always determined using self-reports rather than analyses of genetic characteristics. According to psychologist David Rowe, self-report is the preferred method for racial classification in studies of racial differences because classification based on genetic markers alone ignore the "cultural, behavioral, sociological, psychological, and epidemiological variables" that distinguish racial groups. Hunt and Carlson disagreed, writing that "Nevertheless, self-identification is a surprisingly reliable guide to genetic composition," citing a study by Tang et al. (2005). Sternberg and Grigorenko disputed Hunt and Carlson's interpretation of Tang's results as supporting the view that racial divisions are biological; rather, "Tang et al.'s point was that ancient geographic ancestry rather than current residence is associated with self-identification and not that such self-identification provides evidence for the existence of biological race."

Group differences

The study of human intelligence is one of the most controversial topics in psychology, in part because of difficulty reaching agreement about the meaning of intelligence and objections to the assumption that intelligence can be meaningfully measured by IQ tests. Claims that there are innate differences in intelligence between racial and ethnic groups—which go back at least to the 19th century—have been criticized for relying on specious assumptions and research methods and for serving as an ideological framework for discrimination and racism.

In a 2012 study of tests of different components of intelligence, Hampshire et al. expressed disagreement with the view of Jensen and Rushton that genetic factors must play a role in IQ differences between races, stating that "it remains unclear ... whether population differences in intelligence test scores are driven by heritable factors or by other correlated demographic variables such as socioeconomic status, education level, and motivation. More relevantly, it is questionable whether relate to a unitary intelligence factor, as opposed to a bias in testing paradigms toward particular components of a more complex intelligence construct." According to Jackson and Weidman,

There are a number of reasons why the genetic argument for race differences in intelligence has not won many adherents in the scientific community. First, even taken on its own terms, the case made by Jensen and his followers did not hold up to scrutiny. Second, the rise of population genetics undercut the claims for a genetic cause of intelligence. Third, the new understanding of institutional racism offered a better explanation for the existence of differences in IQ scores between the races.

Test scores

In the United States, Asians on average score higher than White people, who tend to score higher than Hispanics, who tend to score higher than African Americans. Much greater variation in IQ scores exists within each ethnic group than between them. A 2001 meta-analysis of the results of 6,246,729 participants tested for cognitive ability or aptitude found a difference in average scores between black people and white people of 1.1 standard deviations. Consistent results were found for college and university application tests such as the Scholastic Aptitude Test (N = 2.4 million) and Graduate Record Examination (N = 2.3 million), as well as for tests of job applicants in corporate settings (N = 0.5 million) and in the military (N = 0.4 million).

In response to the controversial 1994 book The Bell Curve, the American Psychological Association (APA) formed a task-force of eleven experts, which issued a report "Intelligence: Knowns and Unknowns" in 1996. Regarding group differences, the report reaffirmed the consensus that differences within groups are much wider than differences between groups, and that claims of ethnic differences in intelligence should be scrutinized carefully, as such claims had been used to justify racial discrimination. The report also acknowledged problems with the racial categories used, as these categories are neither consistently applied, nor homogeneous (see Race and ethnicity in the United States).

In the UK, some African groups have higher average educational attainment and standardized test scores than the overall population. In 2010–2011, white British pupils were 2.3% less likely to have gained 5 A*–C grades at GCSE than the national average, whereas the likelihood was 21.8% above average for those of Nigerian origin, 5.5% above average for those of Ghanaian origin, and 1.4% above average for those of Sierra Leonian origin. For the two other African ethnic groups on which data was available, the likelihood was 23.7% below average for those of Somali origin and 35.3% below average for those of Congolese origin. In 2014, Black-African pupils of 11 language groups were more likely to pass Key Stage 2 Maths 4+ in England than the national average. Overall, the average pass rate by ethnicity was 86.5% for white British (N = 395,787), whereas it was 85.6% for Black-Africans (N = 18,497). Nevertheless, several Black-African language groups, including Yoruba, Igbo, Hausa, Akan, Ga, Swahili, Edo, Ewe, Amharic speakers, and English-speaking Africans, each had an average pass rate above the white British average (total N = 9,314), with the Hausa, Igbo, Yoruba, and Amhara having averages above 90% (N = 2,071). In 2017–2018, the percentage of pupils getting a strong pass (grade 5 or above) in the English and maths GCSE (in Key Stage 4) was 42.7% for whites (N = 396,680) and 44.3% for Black-Africans (N = 18,358).

Flynn effect and the closing gap

The 'Flynn effect' — a term coined after researcher James R. Flynn — refers to the substantial rise in raw IQ test scores observed in many parts of the world during the 20th century. In the United States, the increase was continuous and approximately linear from the earliest years of testing to about 1998 when the gains stopped and some tests even showed decreasing test scores. For example, the average scores of black people on some IQ tests in 1995 were the same as the scores of white people in 1945. As one pair of academics phrased it, "the typical African American today probably has a slightly higher IQ than the grandparents of today's average white American."

Flynn himself argued that the dramatic changes having taken place between one just generation and the next pointed strongly at an environmental explanation, and that it is highly unlikely that genetic factors could have accounted for the increasing scores. The Flynn effect, along with Flynn's analysis, continues to hold significance in the context of the black/white IQ gap debate, demonstrating the potential for environmental factors to influence IQ test scores by as much as 1 standard deviation, a scale of change that had previously been doubted.

A distinct but related observation has been the gradual narrowing of the American black-white IQ gap in the last decades of the 20th century, as black test-takers increased their average scores relative to white test-takers. For instance, Vincent reported in 1991 that the black–white IQ gap was decreasing among children, but that it was remaining constant among adults. Similarly, a 2006 study by Dickens and Flynn estimated that the difference between mean scores of black people and white people closed by about 5 or 6 IQ points between 1972 and 2002, a reduction of about one-third. In the same period, the educational achievement disparity also diminished. Reviews by Flynn and Dickens, Mackintosh, and Nisbett et al. accept the gradual closing of the gap as a fact. Flynn and Dickens summarize this trend, stating, "The constancy of the Black-White IQ gap is a myth and therefore cannot be cited as evidence that the racial IQ gap is genetic in origin."

Environmental factors

Health and nutrition

Environmental factors including childhood lead exposure, low rates of breast feeding, and poor nutrition are significantly correlated with poor cognitive development and functioning. For example, childhood exposure to lead — associated with homes in poorer areas — correlates with an average IQ drop of 7 points, and iodine deficiency causes a decline, on average, of 12 IQ points. Such impairments may sometimes be permanent, but in some cases they be partially or wholly compensated for by later growth.

The first two years of life are critical for malnutrition, the consequences of which are often irreversible and include poor cognitive development, educability, and future economic productivity. Mackintosh points out that, for American black people, infant mortality is about twice as high as for white people, and low birth weight is twice as prevalent. At the same time, white mothers are twice as likely to breastfeed their infants, and breastfeeding is directly correlated with IQ for low-birth-weight infants. In this way, a wide number of health-related factors which influence IQ are unequally distributed between the two groups.

The Copenhagen consensus in 2004 stated that lack of both iodine and iron has been implicated in impaired brain development, and this can affect enormous numbers of people: it is estimated that one-third of the total global population is affected by iodine deficiency. In developing countries, it is estimated that 40% of children aged four and under have anaemia because of insufficient iron in their diets.

Other scholars have found that simply the standard of nutrition has a significant effect on population intelligence, and that the Flynn effect may be caused by increasing nutrition standards across the world. James Flynn has himself argued against this view.

Some recent research has argued that the retardation caused in brain development by infectious diseases, many of which are more prevalent in non-white populations, may be an important factor in explaining the differences in IQ between different regions of the world. The findings of this research, showing the correlation between IQ, race and infectious diseases was also shown to apply to the IQ gap in the US, suggesting that this may be an important environmental factor.

A 2013 meta-analysis by the World Health Organization found that, after controlling for maternal IQ, breastfeeding was associated with IQ gains of 2.19 points. The authors suggest that this relationship is causal but state that the practical significance of this gain is debatable; however, they highlight one study suggesting an association between breastfeeding and academic performance in Brazil, where "breastfeeding duration does not present marked variability by socioeconomic position." Colen and Ramey (2014) similarly find that controlling for sibling comparisons within families, rather than between families, reduces the correlation between breastfeeding status and WISC IQ scores by nearly a third, but further find the relationship between breastfeeding duration and WISC IQ scores to be insignificant. They suggest that "much of the beneficial long-term effects typically attributed to breastfeeding, per se, may primarily be due to selection pressures into infant feeding practices along key demographic characteristics such as race and socioeconomic status." Reichman estimates that no more than 3 to 4% of the black–white IQ gap can be explained by black–white disparities in low birth weight.

Education

Several studies have proposed that a large part of the gap in IQ test performance can be attributed to differences in quality of education. Racial discrimination in education has been proposed as one possible cause of differences in educational quality between races. According to a paper by Hala Elhoweris, Kagendo Mutua, Negmeldin Alsheikh and Pauline Holloway, teachers' referral decisions for students to participate in gifted and talented educational programs were influenced in part by the students' ethnicity.

The Abecedarian Early Intervention Project, an intensive early childhood education project, was also able to bring about an average IQ gain of 4.4 points at age 21 in the black children who participated in it compared to controls. Arthur Jensen agreed that the Abecedarian project demonstrated that education can have a significant effect on IQ, but also declared his view that no educational program thus far had been able to reduce the black–white IQ gap by more than a third, and that differences in education are thus unlikely to be its only cause.

A series of studies by Joseph Fagan and Cynthia Holland measured the effect of prior exposure to the kind of cognitive tasks posed in IQ tests on test performance. Assuming that the IQ gap was the result of lower exposure to tasks using the cognitive functions usually found in IQ tests among African American test takers, they prepared a group of African Americans in this type of tasks before taking an IQ test. The researchers found that there was no subsequent difference in performance between the African-Americans and white test takers. Daley and Onwuegbuzie conclude that Fagan and Holland demonstrate that "differences in knowledge between black people and white people for intelligence test items can be erased when equal opportunity is provided for exposure to the information to be tested". A similar argument is made by David Marks who argues that IQ differences correlate well with differences in literacy suggesting that developing literacy skills through education causes an increase in IQ test performance.

A 2003 study found that two variables—stereotype threat and the degree of educational attainment of children's fathers—partially explained the black–white gap in cognitive ability test scores, undermining the hereditarian view that they stemmed from immutable genetic factors.

Socioeconomic environment

Different aspects of the socioeconomic environment in which children are raised have been shown to correlate with part of the IQ gap, but they do not account for the entire gap. According to a 2006 review, these factors account for slightly less than half of one standard deviation.

Other research has focused on different causes of variation within low socioeconomic status (SES) and high SES groups. In the US, among low SES groups, genetic differences account for a smaller proportion of the variance in IQ than among high SES populations. Such effects are predicted by the bioecological hypothesis—that genotypes are transformed into phenotypes through nonadditive synergistic effects of the environment. Nisbett et al. (2012a) suggest that high SES individuals are more likely to be able to develop their full biological potential, whereas low SES individuals are likely to be hindered in their development by adverse environmental conditions. The same review also points out that adoption studies generally are biased towards including only high and high middle SES adoptive families, meaning that they will tend to overestimate average genetic effects. They also note that studies of adoption from lower-class homes to middle-class homes have shown that such children experience a 12 to 18 point gain in IQ relative to children who remain in low SES homes. A 2015 study found that environmental factors (namely, family income, maternal education, maternal verbal ability/knowledge, learning materials in the home, parenting factors, child birth order, and child birth weight) accounted for the black–white gap in cognitive ability test scores.

Test bias

A number of studies have reached the conclusion that IQ tests may be biased against certain groups. The validity and reliability of IQ scores obtained from outside the United States and Europe have been questioned, in part because of the inherent difficulty of comparing IQ scores between cultures. Several researchers have argued that cultural differences limit the appropriateness of standard IQ tests in non-industrialized communities.

A 1996 report by the American Psychological Association states that intelligence can be difficult to compare across cultures, and notes that differing familiarity with test materials can produce substantial differences in test results; it also says that tests are accurate predictors of future achievement for black and white Americans, and are in that sense unbiased. The view that tests accurately predict future educational attainment is reinforced by Nicholas Mackintosh in his 1998 book IQ and Human Intelligence, and by a 1999 literature review by Brown, Reynolds & Whitaker (1999).

James R. Flynn, surveying studies on the topic, notes that the weight and presence of many test questions depends on what sorts of information and modes of thinking are culturally valued.

Stereotype threat and minority status

Stereotype threat is the fear that one's behavior will confirm an existing stereotype of a group with which one identifies or by which one is defined; this fear may in turn lead to an impairment of performance. Testing situations that highlight the fact that intelligence is being measured tend to lower the scores of individuals from racial-ethnic groups who already score lower on average or are expected to score lower. Stereotype threat conditions cause larger than expected IQ differences among groups. Psychometrician Nicholas Mackintosh considers that there is little doubt that the effects of stereotype threat contribute to the IQ gap between black people and white people.

A large number of studies have shown that systemically disadvantaged minorities, such as the African American minority of the United States, generally perform worse in the educational system and in intelligence tests than the majority groups or less disadvantaged minorities such as immigrant or "voluntary" minorities. The explanation of these findings may be that children of caste-like minorities, due to the systemic limitations of their prospects of social advancement, do not have "effort optimism", i.e. they do not have the confidence that acquiring the skills valued by majority society, such as those skills measured by IQ tests, is worthwhile. They may even deliberately reject certain behaviors that are seen as "acting white." Research published in 1997 indicates that part of the black–white gap in cognitive ability test scores is due to racial differences in test motivation.

Some researchers have suggested that stereotype threat should not be interpreted as a factor in real-life performance gaps, and have raised the possibility of publication bias. Other critics have focused on correcting what they claim are misconceptions of early studies showing a large effect. However, numerous meta-analyses and systematic reviews have shown significant evidence for the effects of stereotype threat, though the phenomenon defies over-simplistic characterization. For instance, one meta-analysis found that with female subjects "subtle threat-activating cues produced the largest effect, followed by blatant and moderately explicit cues" while with minorities "moderately explicit stereotype threat-activating cues produced the largest effect, followed by blatant and subtle cues".

Some researchers have argued that studies of stereotype threat may in fact systematically under-represent its effects, since such studies measure "only that portion of psychological threat that research has identified and remedied. To the extent that unidentified or unremedied psychological threats further undermine performance, the results underestimate the bias."

Research into possible genetic factors

Although IQ differences between individuals have been shown to have a large hereditary component, it does not follow that mean group-level disparities (between-group differences) in IQ necessarily have a genetic basis. The scientific consensus is that there is no evidence for a genetic component behind IQ differences between racial groups. Growing evidence indicates that environmental factors, not genetic ones, explain the racial IQ gap.

Genetics of race and intelligence

Geneticist Alan R. Templeton argued that the question about the possible genetic effects on the test score gap is muddled by the general focus on "race" rather than on populations defined by gene frequency or by geographical proximity, and by the general insistence on phrasing the question in terms of heritability. Templeton pointed out that racial groups neither represent sub-species nor distinct evolutionary lineages, and that therefore there is no basis for making claims about the general intelligence of races. He argued that, for these reasons, the search for possible genetic influences on the black–white test score gap is a priori flawed, because there is no genetic material shared by all Africans or by all Europeans. Mackintosh (2011), on the other hand, argued that by using genetic cluster analysis to correlate gene frequencies with continental populations it might be possible to show that African populations have a higher frequency of certain genetic variants that contribute to differences in average intelligence. Such a hypothetical situation could hold without all Africans carrying the same genes or belonging to a single evolutionary lineage. According to Mackintosh, a biological basis for the observed gap in IQ test performance thus cannot be ruled out on a priori grounds.

Hunt (2010, p. 447) noted that "no genes related to difference in cognitive skills have across the various racial and ethnic groups have ever been discovered. The argument for genetic differences has been carried forward largely by circumstantial evidence. Of course, tomorrow afternoon genetic mechanisms producing racial and ethnic differences in intelligence might be discovered, but there have been a lot of investigations, and tomorrow has not come for quite some time now." Mackintosh (2011, p. 344) concurred, noting that while several environmental factors have been shown to influence the IQ gap, the evidence for a genetic influence has been negligible. A 2012 review by Nisbett et al. (2012a) concluded that the entire IQ gap can be explained by known environmental factors, and Mackintosh found this view to be plausible.

More recent research attempting to identify genetic loci associated with individual-level differences in IQ has yielded promising results, which led the editorial board of Nature to issue a statement differentiating this research from the "racist" pseudoscience which it acknowledged has dogged intelligence research since its inception. It characterized the idea of genetically determined differences in intelligence between races as definitively false. Analysis of polygenic scores sampled from the 1000 Genomes Project has likewise found no evidence that intelligence was under diversifying selection in Africans and Europeans, suggesting that genetic differences make up a negligible component of the observed Black-White gap in IQ.

Heritability within and between groups

Twin studies of intelligence have reported high heritability values. However, these studies have been criticized for being based on questionable assumptions. When used in the context of human behavior genetics, the term "heritability" can be misleading, as it does not necessarily convey information about the relative importance of genetic or environmental factors on the development of a given trait, nor does it convey the extent to which that trait is genetically determined. Arguments in support of a genetic explanation of racial differences in IQ are sometimes fallacious. For instance, hereditarians have sometimes cited the failure of known environmental factors to account for such differences, or the high heritability of intelligence within races, as evidence that racial differences in IQ are genetic.

Psychometricians have found that intelligence is substantially heritable within populations, with 30–50% of variance in IQ scores in early childhood being attributable to genetic factors in analyzed US populations, increasing to 75–80% by late adolescence. In biology heritability is defined as the ratio of variation attributable to genetic differences in an observable trait to the trait's total observable variation. The heritability of a trait describes the proportion of variation in the trait that is attributable to genetic factors within a particular population. A heritability of 1 indicates that variation correlates fully with genetic variation and a heritability of 0 indicates that there is no correlation between the trait and genes at all. In psychological testing, heritability tends to be understood as the degree of correlation between the results of a test taker and those of their biological parents. However, since high heritability is simply a correlation between child and parents, it does not describe the causes of heritability which in humans can be either genetic or environmental.

Therefore, a high heritability measure does not imply that a trait is genetic or unchangeable. In addition, environmental factors that affect all group members equally will not be measured by heritability, and the heritability of a trait may also change over time in response to changes in the distribution of genetic and environmental factors. High heritability does not imply that all of the heritability is genetically determined; rather, it can also be due to environmental differences that affect only a certain genetically defined group (indirect heritability).

The figure to the right demonstrates how heritability works. In each of the two gardens the difference between tall and short cornstalks is 100% heritable, as cornstalks that are genetically disposed for growing tall will become taller than those without this disposition. But the difference in height between the cornstalks to the left and those on the right is 100% environmental, as it is due to different nutrients being supplied to the two gardens. Hence, the causes of differences within a group and between groups may not be the same, even when looking at traits that are highly heritable.

Spearman's hypothesis

Spearman's hypothesis states that the magnitude of the black–white difference in tests of cognitive ability depends entirely or mainly on the extent to which a test measures general mental ability, or g. The hypothesis was first formalized by Arthur Jensen, who devised the statistical "method of correlated vectors" to test it. If Spearman's hypothesis holds true, then the cognitive tasks that have the highest g-load are the tasks in which the gap between black and white test takers are greatest. Jensen and Rushton took this to show that the cause of g and the cause of the gap are the same—in their view, genetic differences.

Mackintosh (2011, pp. 338–39) acknowledges that Jensen and Rushton showed a modest correlation between g-loading, heritability, and the test score gap, but does not agree that this demonstrates a genetic origin of the gap. Mackintosh argues that it is exactly those tests that Rushton and Jensen consider to have the highest g-loading and heritability, such as the Wechsler test, that have seen the greatest increases in black performance due to the Flynn effect. This likely suggests that they are also the most sensitive to environmental changes, which undermines Jensen's argument that the black–white gap is most likely caused by genetic factors. Nisbett et al. (2012a, p. 146) make the same point, noting also that the increase in the IQ scores of black test takers necessarily indicates an increase in g.

James Flynn argued that his findings undermine Spearman's hypothesis. In a 2006 study, he and William Dickens found that between 1972 and 2002 "The standard measure of the g gap between Blacks and Whites declined virtually in tandem with the IQ gap." Flynn also criticized Jensen's basic assumption that a correlation between g-loading and test score gap implies a genetic cause for the gap. In a 2014 suite of meta-analyses, along with co-authors Jan te Nijenhuis and Daniel Metzen, he showed that the same negative correlation between IQ gains and g-loading obtains for cognitive deficits of known environmental cause: iodine deficiency, prenatal cocaine exposure, fetal alcohol syndrome, and traumatic brain injury.

Adoption studies

A number of IQ studies have been done on the effect of similar rearing conditions on children from different races. The hypothesis is that this can be determined by investigating whether black children adopted into white families demonstrated gains in IQ test scores relative to black children reared in black families. Depending on whether their test scores are more similar to their biological or adoptive families, that could be interpreted as supporting either a genetic or an environmental hypothesis. Critiques of such studies question whether the environment of black children—even when raised in white families—is truly comparable to the environment of white children. Several reviews of the adoption study literature have suggested that it is probably impossible to avoid confounding biological and environmental factors in this type of study. Another criticism by Nisbett et al. (2012a, pp. 134) is that adoption studies on the whole tend to be carried out in a restricted set of environments, mostly in the medium-high SES range, where heritability is higher than in the low-SES range.

The Minnesota Transracial Adoption Study (1976) examined the IQ test scores of 122 adopted children and 143 nonadopted children reared by advantaged white families. The children were restudied ten years later. The study found higher IQ for white people compared to black people, both at age 7 and age 17. Acknowledging the existence of confounding factors, Scarr and Weinberg, the authors of the original study, did not consider that it provided support for either the hereditarian or environmentalist view.

Three other studies lend support to environmental explanations of group IQ differences:

• Eyferth (1961) studied the out-of-wedlock children of black and white soldiers stationed in Germany after World War II who were then raised by white German mothers in what has become known as the Eyferth study. He found no significant differences in average IQ between groups.
• Tizard et al. (1972) studied black (West Indian), white, and mixed-race children raised in British long-stay residential nurseries. Two out of three tests found no significant differences. One test found higher scores for non-white people.
• Moore (1986) compared black and mixed-race children adopted by either black or white middle-class families in the United States. Moore observed that 23 black and interracial children raised by white parents had a significantly higher mean score than 23 age-matched children raised by black parents (117 vs 104), and argued that differences in early socialization explained these differences.

Frydman and Lynn (1989) showed a mean IQ of 119 for Korean infants adopted by Belgian families. After correcting for the Flynn effect, the IQ of the adopted Korean children was still 10 points higher than that of the Belgian children.

Reviewing the evidence from adoption studies, Mackintosh finds that environmental and genetic variables remain confounded and considers evidence from adoption studies inconclusive, and fully compatible with a 100% environmental explanation. Similarly, Drew Thomas argues that race differences in IQ that appear in adoption studies are in fact an artifact of methodology, and that East Asian IQ advantages and black IQ disadvantages disappear when this is controlled for.

Racial admixture studies

Most people have ancestry from different geographical regions. In particular, African Americans typically have ancestors from both Africa and Europe, with, on average, 20% of their genome inherited from European ancestors. If racial IQ gaps have a partially genetic basis, one might expect black people with a higher degree of European ancestry to score higher on IQ tests than black people with less European ancestry, because the genes inherited from European ancestors would likely include some genes with a positive effect on IQ. Geneticist Alan Templeton has argued that an experiment based on the Mendelian "common garden" design, where specimens with different hybrid compositions are subjected to the same environmental influences, are the only way to definitively show a causal relation between genes and group differences in IQ. Summarizing the findings of admixture studies, he concludes that they have shown no significant correlation between any cognitive ability and the degree of African or European ancestry.

Studies have employed different ways of measuring or approximating relative degrees of ancestry from Africa and Europe. Some studies have used skin color as a measure, and others have used blood groups. Loehlin (2000) surveys the literature and argues that the blood groups studies may be seen as providing some support to the genetic hypothesis, even though the correlation between ancestry and IQ was quite low. He finds that studies by Eyferth (1961), Willerman, Naylor & Myrianthopoulos (1970) did not find a correlation between degree of African/European ancestry and IQ. The latter study did find a difference based on the race of the mother, with children of white mothers with black fathers scoring higher than children of black mothers and white fathers. Loehlin considers that such a finding is compatible with either a genetic or an environmental cause. All in all Loehlin finds admixture studies inconclusive and recommends more research.

Reviewing the evidence from admixture studies Hunt (2010) considers it to be inconclusive because of too many uncontrolled variables. Mackintosh (2011, p. 338) quotes a statement by Nisbett (2009) to the effect that admixture studies have not provided a shred of evidence in favor of a genetic basis for the IQ gap.

Mental chronometry

Mental chronometry measures the elapsed time between the presentation of a sensory stimulus and the subsequent behavioral response by the participant. These studies have shown inconsistent results when comparing black and white populations groups, with some studies showing whites outperforming blacks, and others showing blacks outperforming whites.

Arthur Jensen argued that this reaction time (RT) is a measure of the speed and efficiency with which the brain processes information, and that scores on most types of RT tasks tend to correlate with scores on standard IQ tests as well as with g. Nisbett argues that some studies have found correlations closer to 0.2, and that a correlation is not always found. Nisbett points to the Jensen & Whang (1993) study in which a group of Chinese Americans had longer reaction times than a group of European Americans, despite having higher IQs. Nisbett also mentions findings in Flynn (1991) and Deary (2001) suggesting that movement time (the measure of how long it takes a person to move a finger after making the decision to do so) correlates with IQ just as strongly as reaction time, and that average movement time is faster for black people than for white people. Mackintosh (2011, p. 339) considers reaction time evidence unconvincing and comments that other cognitive tests that also correlate well with IQ show no disparity at all, for example the habituation/dishabituation test. He further comments that studies show that rhesus monkeys have shorter reaction times than American college students, suggesting that different reaction times may not tell us anything useful about intelligence.

Brain size

A number of studies have reported a moderate statistical correlation between differences in IQ and brain size between individuals in the same group. Some scholars have reported differences in average brain sizes between racial groups, although this is unlikely to be a good measure of IQ as brain size also differs between men and women, but without significant differences in IQ. At the same time newborn black children have the same average brain size as white children, suggesting that the difference in average size could be accounted for by differences in environment. Several environmental factors that reduce brain size have been demonstrated to disproportionately affect black children.

Archaeological data

Archaeological evidence does not support claims by Rushton and others that black people's cognitive ability was inferior to white people's during prehistoric times.

Policy relevance and ethics

The ethics of research on race and intelligence has long been a subject of debate: in a 1996 report of the American Psychological Association; in guidelines proposed by Gray and Thompson and by Hunt and Carlson; and in two editorials in Nature in 2009 by Steven Rose and by Stephen J. Ceci and Wendy M. Williams.

Steven Rose maintains that the history of eugenics makes this field of research difficult to reconcile with current ethical standards for science. On the other hand, James R. Flynn has argued that had there been a ban on research on possibly poorly conceived ideas, much valuable research on intelligence testing (including his own discovery of the Flynn effect) would not have occurred.

Many have argued for increased interventions in order to close the gaps. Flynn writes that "America will have to address all the aspects of black experience that are disadvantageous, beginning with the regeneration of inner city neighborhoods and their schools." Especially in developing nations, society has been urged to take on the prevention of cognitive impairment in children as a high priority. Possible preventable causes include malnutrition, infectious diseases such as meningitis, parasites, cerebral malaria, in utero drug and alcohol exposure, newborn asphyxia, low birth weight, head injuries, lead poisoning and endocrine disorders.

See also

• Behavioral epigenetics
• Melanin theory
• Model minority
• Nations and IQ
• Outline of human intelligence

References

Notes

Citations

1. ^ Mercer, Jonathan (October 1, 2023). "Racism, Stereotypes, and War". direct.mit.edu. Journal of International Security. Retrieved 2024-02-04.
2. Jackson & Weidman 2004, p. 23.
3. Stewart, Roderick M. 1999. "The Claims of Frederick Douglass Philosophically Considered." Pp. 155–56 in Frederick Douglass: A Critical Reader, edited by B. E. Lawson and F. M. Kirkland. Wiley-Blackwell. ISBN 978-0-631-20578-4. "Moreover, though he does not make the point explicitly, again the very fact that Douglass is ably disputing this argument on this occasion celebrating a select few's intellect and will (or moral character)—this fact constitutes a living counterexample to the narrowness of the pro-slavery definition of humans."
4. Marable, Manning (2011), Living Black History: How Reimagining the African-American Past Can Remake America's Racial Future, p. 96. ISBN 978-0-465-04395-8.
5. Tonooka, Chika (2017). "Reverse Emulation and the Cult of Japanese Efficiency in Edwardian Britain". The Historical Journal. 60 (1): 95–119. doi:10.1017/S0018246X15000539. ISSN 0018-246X. JSTOR 26343378. S2CID 162698331.
6. Plotnik & Kouyoumdjian 2011.
7. Terman, Lewis (1916). The Measurement Of Intelligence. Houghton, Mifflin and Company. p. 91. OCLC 557712625.
8. Jackson & Weidman 2004, p. 116.
9. Jackson & Weidman 2004, pp. 116, 309.
10. Pickren & Rutherford 2010, p. 163.
11. Jackson & Weidman 2004, p. 145.
12. Spiro 2009.
13. Ludy 2006
14. Jackson & Weidman 2004, pp. 130–32.
15. ^ Tucker 2002.
16. Jackson 2005.
17. Shurkin 2006.
18. Jensen 1969, pp. 1–123.
19. Panofsky, Aaron (2014). Misbehaving Science. Controversy and the Development of Behavior Genetics. Chicago: University of Chicago Press. ISBN 978-0-226-05831-3.
20. Alland 2002, pp. 79–80.
21. Herrnstein & Murray 1994.
22. ^ Maltby, Day & Macaskill 2007
23. Mackintosh 1998
24. Graves 2002a.
25. Graves 2002b.
26. Grossman & Kaufman 2001
27. Adam, Miller (1994). "The Pioneer Fund: Bankrolling the Professors of Hate". The Journal of Blacks in Higher Education (6): 58–61. doi:10.2307/2962466. JSTOR 2962466.
28. Blakemore, Bill; Jennings, Peter; Nissen, Beth (November 22, 1994). "The Bell Curve and the Pioneer Fund". ABC World News Tonight. ABC News. Archived from the original on March 3, 2016. Retrieved May 1, 2020. Vanderbilt Television News Archive : ABC Evening News for Tuesday, Nov 22, 1994. Headline: American Agenda (Intelligence) Archived January 3, 2016, at the Wayback Machine
29. Montagu, Ashley (2002). Race and IQ (2 ed.). New York: Oxford University Press. ISBN 978-0-19-510221-5.
30. Berlet 2003.
31. Pioneer Fund Board Archived 2011-05-25 at the Wayback Machine
32. Falk 2008, p. 18
33. Wroe 2008, p. 81
34. ^ Schacter, Gilbert & Wegner 2007, pp. 350–1
35. ^ Sternberg, Grigorenko & Kidd 2005
36. Deary, I. J.; Lawn, M.; Bartholomew, D. J. (2008). ""A conversation between Charles Spearman, Godfrey Thomson, and Edward L. Thorndike: The International Examinations Inquiry Meetings 1931-1938": Correction to Deary, Lawn, and Bartholomew (2008)" (PDF). History of Psychology. 11 (3): 156–157. doi:10.1037/1093-4510.11.3.163. hdl:20.500.11820/5417f3c7-e873-40b9-ad73-19c6acc9e35b. Archived (PDF) from the original on 2020-08-06. Retrieved 2020-06-25.
37. Jensen 1998, p. 445ff.
38. Ceci, Stephen J. (1991). "How much does schooling influence general intelligence and its cognitive components? A reassessment of the evidence". Developmental Psychology. 27 (5): 703–722. doi:10.1037/0012-1649.27.5.703.
39. ^ Dickens & Flynn 2006.
40. Richie, Stuart J.; Tucker-Drob, Elliot (June 2018). "How Much Does Education Improve Intelligence? A Meta-Analysis". Psychological Science. 29 (8).
41. Mackintosh 2011, p. 359.
42. ^ Using Population Descriptors in Genetics and Genomics Research: A New Framework for an Evolving Field (Consensus Study Report). National Academies of Sciences, Engineering, and Medicine. 2023. doi:10.17226/26902. ISBN 978-0-309-70065-8. PMID 36989389. In humans, race is a socially constructed designation, a misleading and harmful surrogate for population genetic differences, and has a long history of being incorrectly identified as the major genetic reason for phenotypic differences between groups.
43. Daley & Onwuegbuzie 2011, p. 294.
44. Templeton, A. (2016). EVOLUTION AND NOTIONS OF HUMAN RACE. In Losos J. & Lenski R. (Eds.), How Evolution Shapes Our Lives: Essays on Biology and Society (pp. 346–361). Princeton; Oxford: Princeton University Press. doi:10.2307/j.ctv7h0s6j.26. That this view reflects the consensus among American anthropologists is stated in: Wagner, Jennifer K.; Yu, Joon-Ho; Ifekwunigwe, Jayne O.; Harrell, Tanya M.; Bamshad, Michael J.; Royal, Charmaine D. (February 2017). "Anthropologists' views on race, ancestry, and genetics". American Journal of Physical Anthropology. 162 (2): 318–327. doi:10.1002/ajpa.23120. PMC 5299519. PMID 27874171. See also: American Association of Physical Anthropologists (27 March 2019). "AAPA Statement on Race and Racism". American Association of Physical Anthropologists. Archived from the original on 25 January 2022. Retrieved 19 June 2020.
45. Smay & Armelagos 2000.
46. Rotimi, Charles N. (2004). "Are medical and nonmedical uses of large-scale genomic markers conflating genetics and 'race'?". Nature Genetics. 36 (11 Suppl): 43–47. doi:10.1038/ng1439. PMID 15508002. Two facts are relevant: (i) as a result of different evolutionary forces, including natural selection, there are geographical patterns of genetic variations that correspond, for the most part, to continental origin; and (ii) observed patterns of geographical differences in genetic information do not correspond to our notion of social identities, including 'race' and 'ethnicity
47. Schaefer 2008
48. AAA 1998
49. "AAPA Statement on Race & Racism". Archived from the original on 2022-01-25. Retrieved 2020-06-28.
50. Brace 2005
51. Kaplan, Jonathan Michael; Winther, Rasmus Grønfeldt (2014). "Realism, Antirealism, and Conventionalism About Race". Philosophy of Science. 81 (5): 1039–1052. doi:10.1086/678314. S2CID 55148854.
52. Winther, Rasmus Grønfeldt (2015). "The Genetic Reification of 'Race'?: A Story of Two Mathematical Methods" (PDF). Critical Philosophy of Race. 2 (2): 204–223.
53. Kaplan & Winther (2013).
54. Graves, Joseph (7 June 2006). "What We Know and What We Don't Know: Human Genetic Variation and the Social Construction of Race". Race and Genomics.
55. Weiss, K. M.; Fullerton, S. M. (2005). "Racing around, getting nowhere". Evolutionary Anthropology. 14 (5): 165–169. doi:10.1002/evan.20079. S2CID 84927946.
56. Mills, C. W. (1988). "But What Are You Really? The Metaphysics of Race". Blackness visible: essays on philosophy and race. Ithaca, New York: Cornell University Press. pp. 41–66.
57. Rowe 2005
58. ^ Hunt & Carlson 2007
59. Sternberg & Grigorenko 2007
60. ^ Neisser et al. 1996.
61. ^ Jackson & Weidman 2004, p. 222.
62. Hampshire et al. 2012.
63. Reynolds, Cecil R.; Altmann, Robert A.; Allen, Daniel N. (2021). "The Problem of Bias in Psychological Assessment". Mastering Modern Psychological Testing. Springer. pp. 573–613, 582. doi:10.1007/978-3-030-59455-8_15. ISBN 978-3-030-59454-1. S2CID 236660997.
64. Encyclopedia of Diversity in Education. SAGE. 2012. p. 1209. ISBN 978-1-4129-8152-1. Archived from the original on 2023-03-20. Retrieved 2018-01-20.
65. Roth et al. 2001
66. Demie, Feyisa; McLean, Christabel (1 December 2007). "Raising the achievement of African heritage pupils: a case study of good practice in British schools". Educational Studies. 33 (4): 415–434. doi:10.1080/03055690701423606. ISSN 0305-5698. S2CID 144579288.
67. Rutter, Jill (2013). Back to basics: Towards a successful and cost-effective integration policy. Institute for Public Policy Research. p. 43. Archived from the original on 2020-04-13. Retrieved 2020-05-23.
68. Feyisa Demie, Andrew Hau (2016). Language Diversity and Attainment in Primary Schools in England (PDF). Lambeth Research And Statistics Unit. p. 18. Archived (PDF) from the original on 2020-08-06. Retrieved 2020-05-24.
69. "GCSE English and maths results". Gov.UK. 2019. Archived from the original on 2022-09-20. Retrieved 2022-09-20.
70. Mackintosh 1998, p. 162
71. Swain, Carol (2003). Contemporary voices of white nationalism in America. Cambridge, UK New York: Cambridge University Press. p. 70. ISBN 978-0-521-01693-3. Note: this quote is from the authors' introductory essay, not from the interviews.
72. Dickens & Flynn 2001.
73. Vincent 1991.
74. Neisser, Ulric (Ed). 1998. The rising curve: Long-term gains in IQ and related measures. Washington, DC, US: American Psychological Association
75. Mackintosh 2011.
76. ^ Nisbett et al. 2012a.
77. ^ Bellinger, Stiles & Needleman 1992
78. MMWR 2005
79. ^ Campbell et al. 2002
80. Ivanovic et al. 2004
81. Saloojee & Pettifor 2001
82. Agency For Toxic Substances And Disease Registry Case Studies In Environmental Medicine (CSEM) (2012-02-15). "Principles of Pediatric Environmental Health, The Child as Susceptible Host: A Developmental Approach to Pediatric Environmental Medicine" (PDF). U.S. Department for Health and Human Services. Archived (PDF) from the original on 2019-01-31. Retrieved 2019-01-30.
83. Lanphear, Bruce P.; Hornung, Richard; Khoury, Jane; Yolton, Kimberly; Baghurst, Peter; Bellinger, David C.; Canfield, Richard L.; Dietrich, Kim N.; Bornschein, Robert; Greene, Tom; Rothenberg, Stephen J.; Needleman, Herbert L.; Schnaas, Lourdes; Wasserman, Gail; Graziano, Joseph; Roberts, Russell (2005-03-18). "Low-Level Environmental Lead Exposure and Children's Intellectual Function: An International Pooled Analysis". Environmental Health Perspectives. 113 (7): 894–899. Bibcode:2005EnvHP.113..894L. doi:10.1289/ehp.7688. ISSN 0091-6765. PMC 1257652. PMID 16002379.
84. Qian et al. 2005
85. Feyrer, James; Politi, Dimitra; Weil, David N. (2017). "The Cognitive Effects of Micronutrient Deficiency: Evidence from Salt Iodization in the United States" (PDF). Journal of the European Economic Association. 15 (2): 355–387. doi:10.1093/jeea/jvw002. PMC 6919660. PMID 31853231. Archived (PDF) from the original on 2020-08-13. Retrieved 2019-07-22.
86. The Lancet Series on Maternal and Child Undernutrition Archived 2011-07-17 at the Wayback Machine, 2008.
87. Mackintosh 2011, pp. 343–44.
88. Behrman, Alderman & Hoddinott 2004
89. Colom, R.; Lluis-Font, J. M.; Andrés-Pueyo, A. (2005). "The generational intelligence gains are caused by decreasing variance in the lower half of the distribution: supporting evidence for the nutrition hypothesis". Intelligence. 33: 83–91. doi:10.1016/j.intell.2004.07.010.
90. Flynn, J. R. (2009a). "Requiem for nutrition as the cause of IQ gains: Raven's gains in Britain 1938 to 2008". Economics and Human Biology. 7 (1): 18–27. doi:10.1016/j.ehb.2009.01.009. PMID 19251490.
91. Eppig 2011
92. Horta, Bernardo L.; Victoria, Cesar G. (2013). "Long-term effects of breastfeeding – a systemic review" (PDF). World Health Organization. Archived (PDF) from the original on 9 April 2020. Retrieved 18 June 2018.
93. Colen, Cynthia G.; Ramey, David M. (2014). "Is Breast Truly Best? Estimating the Effect of Breastfeeding on Long-term Child Wellbeing in the United States Using Sibling Comparisons". Social Science & Medicine. 109 (1): 55–65. doi:10.1016/j.socscimed.2014.01.027. PMC 4077166. PMID 24698713.
94. Reichman 2005
95. Manly et al. 2002 and Manly et al. 2004
96. Mickelson 2003
97. Elhoweris et al. 2005
98. Miele 2002, p. 133
99. Fagan, Joseph F; Holland, Cynthia R (2002). "Equal opportunity and racial differences in IQ". Intelligence. 30 (4): 361–387. doi:10.1016/S0160-2896(02)00080-6.
100. Fagan, J.F.; Holland, C.R. (2007). "Racial equality in intelligence: Predictions from a theory of intelligence as processing". Intelligence. 35 (4): 319–334. doi:10.1016/j.intell.2006.08.009.
101. Daley & Onwuegbuzie 2011.
102. Marks, D.F. (2010). "IQ variations across time, race, and nationality: An artifact of differences in literacy skills". Psychological Reports. 106 (3): 643–664. doi:10.2466/pr0.106.3.643-664. PMID 20712152. S2CID 12179547.
103. Barry, Scott (2010-08-23). "The Flynn Effect and IQ Disparities Among Races, Ethnicities, and Nations: Are There Common Links?". Psychology Today. Archived from the original on 2023-03-20. Retrieved 2014-08-22.
104. McKay, Patrick F.; Doverspike, Dennis; Bowen-Hilton, Doreen; McKay, Quintonia D. (2003). "The Effects of Demographic Variables and Stereotype Threat on Black/White Differences in Cognitive Ability Test Performance". Journal of Business and Psychology. 18 (1): 1–14. doi:10.1023/A:1025062703113. S2CID 142317051.
105. Hunt 2010, p. 428.
106. Magnuson, Katherine A.; Duncan, Greg J. (December 2006). "The role of family socioeconomic resources in the black–white test score gap among young children". Developmental Review. 26 (4): 365–399. doi:10.1016/j.dr.2006.06.004.
107. Scarr-Salapatek, S. (1971). "Race, social class, and IQ". Science. 174 (4016): 1285–95. Bibcode:1971Sci...174.1285S. doi:10.1126/science.174.4016.1285. PMID 5167501.
108. Scarr-Salapatek, S. (1974). "Some myths about heritability and IQ". Nature. 251 (5475): 463–464. Bibcode:1974Natur.251..463S. doi:10.1038/251463b0. S2CID 32437709.
109. D. C. Rowe. (1994). The Limits of Family Influence: Genes, Experience and Behaviour. Guilford Press. London
110. Kirkpatrick, R. M.; McGue, M.; Iacono, W. G. (2015). "Replication of a gene-environment interaction Via Multimodel inference: additive-genetic variance in adolescents' general cognitive ability increases with family-of-origin socioeconomic status". Behav Genet. 45 (2): 200–14. doi:10.1007/s10519-014-9698-y. PMC 4374354. PMID 25539975.
111. Bronfenbrenner, Urie; Ceci, Stephen J. (October 1994). "Nature-nuture reconceptualized in developmental perspective: A bioecological model". Psychological Review. 101 (4): 568–586. doi:10.1037/0033-295x.101.4.568. PMID 7984707. S2CID 17402964.
112. Cottrell, Newman & Roisman 2015.
113. Cronshaw et al. 2006, p. 278
114. Verney et al. 2005
115. Borsboom 2006
116. Shuttleworth-Edwards et al. 2004
117. Richardson 2004
118. Hunt & Wittmann 2008
119. Irvine 1983
120. Irvine & Berry 1988 a collection of articles by several authors discussing the limits of assessment by intelligence tests in different communities in the world. In particular, Reuning (1988) describes the difficulties in devising and administering tests for Kalahari bushmen.
121. Mackintosh 1998, p. 174: "Despite widespread belief to the contrary, however, there is ample evidence, both in Britain and the USA, that IQ tests predict educational attainment just about as well in ethnic minorities as in the white majority."
122. "Reflections about intelligence over 40 years" (PDF). Intelligence (70): 73–83. 2018. Archived (PDF) from the original on 2019-02-03. Retrieved 2019-02-02.
123. Aronson, Wilson & Akert 2005
124. Steele, Claude M. (1997). "A threat in the air: How stereotypes shape intellectual identity and performance". American Psychologist. 52 (6): 613–629. CiteSeerX 10.1.1.319.8283. doi:10.1037/0003-066X.52.6.613. ISSN 0003-066X. PMID 9174398. S2CID 19952.
125. Mackintosh 2011, p. 348.
126. Ogbu 1978.
127. Ogbu 1994.
128. Chan, D.; Schmitt, N.; DeShon, R. P.; Clause, C. S.; Delbridge, K. (April 1997). "Reactions to cognitive ability tests: the relationships between race, test performance, face validity perceptions, and test-taking motivation". The Journal of Applied Psychology. 82 (2): 300–310. doi:10.1037/0021-9010.82.2.300. ISSN 0021-9010. PMID 9109288.
129. Ganley CM, Mingle LA, Ryan AM, Ryan K, Vasilyeva M, Perry M (October 2013). "An examination of stereotype threat effects on girls' mathematics performance" (PDF). Developmental Psychology. 49 (10): 1886–97. CiteSeerX 10.1.1.353.4436. doi:10.1037/a0031412. PMID 23356523. Archived from the original (PDF) on 19 July 2014.
130. Stoet G, Geary DC (2012). "Can stereotype threat explain the gender gap in mathematics performance and achievement?". Review of General Psychology. 16: 93–102. doi:10.1037/a0026617. S2CID 145724069. Pdf. Archived 2016-01-12 at the Wayback Machine
131. Flore PC, Wicherts JM (February 2015). "Does stereotype threat influence performance of girls in stereotyped domains? A meta-analysis". Journal of School Psychology. 53 (1): 25–44. doi:10.1016/j.jsp.2014.10.002. PMID 25636259. S2CID 206516995.
132. Sackett PR, Hardison CM, Cullen MJ (January 2004). "On interpreting stereotype threat as accounting for African American-White differences on cognitive tests" (PDF). The American Psychologist. 59 (1): 7–13. doi:10.1037/0003-066X.59.1.7. PMID 14736315. Archived from the original (PDF) on 2013-04-04.
133. Pennington CR, Heim D, Levy AR, Larkin DT (2016-01-11). "Twenty Years of Stereotype Threat Research: A Review of Psychological Mediators". PLOS ONE. 11 (1): e0146487. Bibcode:2016PLoSO..1146487P. doi:10.1371/journal.pone.0146487. PMC 4713435. PMID 26752551.
134. ^ Nguyen HH, Ryan AM (November 2008). "Does stereotype threat affect test performance of minorities and women? A meta-analysis of experimental evidence". The Journal of Applied Psychology. 93 (6): 1314–34. doi:10.1037/a0012702. PMID 19025250. S2CID 36769821.
135. ^ Walton, Gregory M.; Spencer, Steven J. (2009-09-01). "Latent Ability: Grades and Test Scores Systematically Underestimate the Intellectual Ability of Negatively Stereotyped Students". Psychological Science. 20 (9): 1132–1139. doi:10.1111/j.1467-9280.2009.02417.x. ISSN 0956-7976. PMID 19656335. S2CID 25810191.
136. Gentile, Ambra; Boca, Stefano; Giammusso, Isabella (2018-11-01). "'You play like a Woman!' Effects of gender stereotype threat on Women's performance in physical and sport activities: A meta-analysis". Psychology of Sport and Exercise. 39: 95–103. doi:10.1016/j.psychsport.2018.07.013. ISSN 1469-0292. S2CID 149490634.
137. Lamont, Ruth A.; Swift, Hannah J.; Abrams, Dominic (2015). "A Review and Meta-Analysis of Age-Based Stereotype Threat: Negative Stereotypes, Not Facts, Do the Damage". Psychology and Aging. 30 (1): 180–193. doi:10.1037/a0038586. ISSN 1939-1498. PMC 4360754. PMID 25621742.
138. Picho, Katherine; Rodriguez, Ariel; Finnie, Lauren (May 2013). "Exploring the Moderating Role of Context on the Mathematics Performance of Females Under Stereotype Threat: A Meta-Analysis". The Journal of Social Psychology. 153 (3): 299–333. doi:10.1080/00224545.2012.737380. PMID 23724702. S2CID 45950675.
139. Liu, Songqi; Liu, Pei; Wang, Mo; Zhang, Baoshan (July 2020). "Effectiveness of Stereotype Threat Interventions: A Meta-Analytic Review". Journal of Applied Psychology. currently in press (6): 921–949. doi:10.1037/apl0000770. PMID 32772526. S2CID 221098319.
140. Nisbett, Richard E.; Aronson, Joshua; Blair, Clancy; Dickens, William; Flynn, James; Halpern, Diane F.; Turkheimer, Eric (2012). "Intelligence: New findings and theoretical developments". American Psychologist. 67 (2): 130–159. doi:10.1037/a0026699. ISSN 1935-990X. PMID 22233090.
141. ^ Nisbett, Richard E.; Aronson, Joshua; Blair, Clancy; Dickens, William; Flynn, James; Halpern, Diane F.; Turkheimer, Eric (2012). "Group differences in IQ are best understood as environmental in origin". American Psychologist. 67 (6): 503–504. doi:10.1037/a0029772. ISSN 0003-066X. PMID 22963427.
142. Bird, Kevin; Jackson, John P.; Winston, Andrew S. (2024). "Confronting Scientific Racism in Psychology: Lessons from Evolutionary Biology and Genetics". American Psychologist. 79 (4): 497–508. doi:10.1037/amp0001228. PMID 39037836. Recent articles claim that the folk categories of race are genetically meaningful divisions, and that evolved genetic differences among races and nations are important for explaining immutable differences in cognitive ability, educational attainment, crime, sexual behavior, and wealth; all claims that are opposed by a strong scientific consensus to the contrary.
143. Ceci & Williams 2009, pp. 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".
144. Hunt 2010, p. 447, "It is worth remembering that no genes related to difference in cognitive skills across the various racial and ethnic groups have ever been discovered. The argument for genetic differences has been carried forward largely by circumstantial evidence. Of course, tomorrow afternoon genetic mechanisms producing racial and ethnic differences in intelligence might be discovered, but there have been a lot of investigations, and tomorrow has not come for quite some time now."
145. Mackintosh 2011, pp. 334–338, 344.
146. ^ Kaplan, Jonathan Michael (January 2015). "Race, IQ, and the search for statistical signals associated with so-called "X"-factors: environments, racism, and the "hereditarian hypothesis"". Biology & Philosophy. 30 (1): 1–17. doi:10.1007/s10539-014-9428-0. ISSN 0169-3867. S2CID 85351431.
147. Panofsky, Aaron; Dasgupta, Kushan; Iturriaga, Nicole (2021). "How White nationalists mobilize genetics: From genetic ancestry and human biodiversity to counterscience and metapolitics". American Journal of Physical Anthropology. 175 (2): 387–398. doi:10.1002/ajpa.24150. ISSN 0002-9483. PMC 9909835. PMID 32986847. 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).
148. Lewontin, Richard C. (March 1970). "Race and Intelligence". Bulletin of the Atomic Scientists. 26 (3): 2–8. Bibcode:1970BuAtS..26c...2L. doi:10.1080/00963402.1970.11457774. Archived from the original on 10 June 2021. Retrieved 26 April 2021.
149. Nevid 2014, p. 271.
150. ^ Templeton 2001
151. ^ "Intelligence research should not be held back by its past". Nature. 545 (7655): 385–386. 25 May 2017. Bibcode:2017Natur.545R.385.. doi:10.1038/nature.2017.22021. PMID 28541341. S2CID 4449918.
152. Bird, Kevin A. (2 February 2021). "No support for the hereditarian hypothesis of the Black–White achievement gap using polygenic scores and tests for divergent selection". American Journal of Physical Anthropology. 175 (2): 465–476. doi:10.1002/ajpa.24216. ISSN 0002-9483. PMID 33529393. Retrieved 1 November 2024 – via Wiley Online Library.
153. Carson, Michael; Beckwith, Jon (2001). 'Race', IQ and Genes. John Wiley & Sons, Ltd. pp. 1–5. doi:10.1002/9780470015902.a0005689.pub3. ISBN 978-0-470-01590-2.
154. Beckwith, Jon; Morris, Corey A. (December 2008). "Twin Studies of Political Behavior: Untenable Assumptions?". Perspectives on Politics. 6 (4): 785–791. doi:10.1017/S1537592708081917. ISSN 1541-0986. S2CID 55630117.
155. Kamin, Leon J.; Goldberger, Arthur S. (February 2002). "Twin Studies in Behavioral Research: A Skeptical View". Theoretical Population Biology. 61 (1): 83–95. Bibcode:2002TPBio..61...83K. doi:10.1006/tpbi.2001.1555. ISSN 0040-5809. PMID 11895384.
156. Moore & Shenk 2016.
157. Mackenzie 1984
158. Deary, Johnson & Houlihan 2009
159. ^ Block 2002
160. Rushton & Jensen 2005.
161. Flynn, J.R. (1999). "Searching for justice: the discovery of IQ gains over time" (PDF). American Psychologist. 54: 5–9. doi:10.1037/0003-066X.54.1.5. Archived (PDF) from the original on 25 June 2010. Retrieved 26 October 2017.
162. Flynn, James R. (2010). "The spectacles through which I see the race and IQ debate" (PDF). Intelligence. 38 (4): 363–366. doi:10.1016/j.intell.2010.05.001. Archived (PDF) from the original on 2020-12-07. Retrieved 2011-02-18.
163. Flynn, James R.; te Nijenhuis, Jan; Metzen, Daniel (2014). "The g beyond Spearman's g: Flynn's paradoxes resolved using four exploratory meta-analyses" (PDF). Intelligence. 44: 1–10. doi:10.1016/j.intell.2014.01.009.
164. ^ Mackintosh 2011, p. 337.
165. ^ Weinberg, Scarr & Waldman 1992
166. Scarr & Weinberg 1976.
167. Loehlin 2000, p. 185.
168. Scarr & Weinberg 1990.
169. Loehlin 2000, p. 187.
170. Frydman and Lynn (1989). "The intelligence of Korean children adopted in Belgium". Personality and Individual Differences. 10 (12): 1323–1325. doi:10.1016/0191-8869(89)90246-8.
171. Thomas, Drew (2017). "Racial IQ Differences among Transracial Adoptees: Fact or Artifact?". Journal of Intelligence. 5 (1): 1. doi:10.3390/jintelligence5010001. PMC 6526420. PMID 31162392.
172. Bryc et al. 2009
173. Loehlin 2000.
174. Templeton 2001.
175. Sheppard & Vernon 2008.
176. ^ Jensen 2006
177. Nisbett 2009
178. Nisbett 2009, pp. 221–2.
179. Deary, Penke & Johnson 2010.
180. McDaniel 2005.
181. Ho et al. 1980.
182. MacEachern 2006.
183. Gray & Thompson 2004
184. Ceci & Williams 2009
185. ^ Rose, Steven (2009). "Should scientists study race and IQ? NO: Science and society do not benefit". Nature. 457 (7231): 786–788. Bibcode:2009Natur.457..786R. doi:10.1038/457786a. PMID 19212384. S2CID 42846614.
186. Flynn 2009b
187. Jencks, Christopher; Phillips, Meredith. "The Black-White Test Score Gap". New York Times. Archived from the original on 8 October 2016. Retrieved 2 October 2016.
188. Flynn 2008
189. Olness 2003

Bibliography

• Alland, Alexander Jr (2002). Race in Mind. Palgrave Macmillan. pp. 79–80. ISBN 978-0-312-23838-4.
• "American Anthropological Association Statement on 'Race' and Intelligence". American Anthropological Association. December 1994. Archived from the original on 2005-03-05. Retrieved 2005-03-24.
• "American Anthropological Association Statement on 'Race'". American Anthropological Association. 17 May 1998. Archived from the original on 27 June 2013. Retrieved 24 February 2011.
• "AAPA Statement on Biological Aspects of Race". American Journal of Physical Anthropology. 101 (4): 569–570. 1996. doi:10.1002/ajpa.1331010408. Archived from the original on 2011-09-28. Retrieved 2011-05-24.
• Aronson, E; Wilson, TD; Akert, AM (2005). Social Psychology (5th ed.). Upper Saddle River, NJ: Prentice Hall. ISBN 978-0-13-178686-8.
• Behrman, JR; Alderman, H; Hoddinott, J (2004). "Hunger and Malnutrition" (PDF). Copenhagen Consensus. Archived from the original (PDF) on 2006-10-25.
• Bellinger, David C; Stiles, Karen M; Needleman, Herbert L (December 1992). "Low-Level Lead Exposure, Intelligence and Academic Achievement: A Long-term Follow-up Study". Pediatrics. 90 (6): 855–61. doi:10.1542/peds.90.6.855. PMID 1437425. S2CID 25746146. Archived from the original on 2019-01-04. Retrieved 2009-12-19.
• Berlet, Chip (Summer 2003). "Into the Mainstream". Intelligence Report (110). Archived from the original on 2 February 2010. Retrieved 21 February 2012.
• Block, Ned (2002). "How heritability misleads about race". In Fish, Jefferson (ed.). Race and Intelligence: Separating Science from Myth. Lawrence Erlbaum and Associates.
• Borsboom, Denny (September 2006). "The attack of the psychometricians". Psychometrika. 71 (3): 425–40. doi:10.1007/s11336-006-1447-6. PMC 2779444. PMID 19946599.
• Brace, C Loring (1999). "An Anthropological Perspective on 'Race' and Intelligence: The non-clinal nature of human cognitive capabilities". Journal of Anthropological Research. 55 (2): 245–64. doi:10.1086/jar.55.2.3631210. JSTOR 3631210. S2CID 83112950.
• Brace, C. Loring (2005). Race is a four letter word. Oxford University Press. p. 326. ISBN 978-0-19-517351-2.
• "race". Encyclopædia Britannica (Online ed.). Encyclopædia Britannica Inc. 2012. Archived from the original on 2011-06-29. Retrieved 2011-02-24.
• Brown, Robert T; Reynolds, Cecil R; Whitaker, Jean S (1999). "Bias in Mental Testing since "Bias in Mental Testing"". School Psychology Quarterly. 14 (3): 208–38. doi:10.1037/h0089007. S2CID 46561407.
• Bryc, Katarzyna; Auton, Adam; Nelson, Matthew R.; Oksenberg, Jorge R.; Hauser, Stephen L.; Williams, Scott; Froment, Alain; Bodo, Jean-Marie; Wambebe, Charles; Tishkoff, Sarah A.; Bustamante, Carlos D. (2009). "Genome-wide patterns of population structure and admixture in West Africans and African Americans". Proceedings of the National Academy of Sciences of the United States of America. 107 (2): 786–91. Bibcode:2010PNAS..107..786B. doi:10.1073/pnas.0909559107. PMC 2818934. PMID 20080753.
• Campbell, FA; Ramey, CT (1994). "Effects of early intervention on intellectual and academic achievement: A follow-up study of children from low-income families". Child Development. 65 (2): 684–698. doi:10.1111/j.1467-8624.1994.tb00777.x.
• Campbell, Frances A; Ramey, Craig T; Pungello, Elizabeth; Sparling, Joseph; Miller-Johnson, Shari (2002). "Early Childhood Education: Young Adult Outcomes From the Abecedarian Project". Applied Developmental Science. 6: 42–57. doi:10.1207/s1532480xads0601_05. S2CID 71602425.
• Carson, Michael; Beckwith, Jon (2001). 'Race', IQ and Genes. John Wiley & Sons, Ltd. pp. 1–5. doi:10.1002/9780470015902.a0005689.pub3. ISBN 978-0-470-01590-2.
• Ceci, SJ; Williams, WM (2009). "Darwin 200: Should scientists study race and IQ? Yes: the scientific truth must be pursued". Nature. 457 (7231): 788–9. Bibcode:2009Natur.457..788C. doi:10.1038/457788a. PMID 19212385. S2CID 205044224.
• Cooper, R. S. (2005). "Race and IQ: Molecular Genetics as Deus ex Machina". American Psychologist. 60 (1): 71–76. CiteSeerX 10.1.1.624.5059. doi:10.1037/0003-066X.60.1.71. PMID 15641923.
• Cottrell, Jonathan M.; Newman, Daniel A.; Roisman, Glenn I. (November 2015). "Explaining the black-white gap in cognitive test scores: Toward a theory of adverse impact". The Journal of Applied Psychology. 100 (6): 1713–1736. doi:10.1037/apl0000020. ISSN 1939-1854. PMID 25867168.
• Cronshaw, Steven F; Hamilton, Leah K; Onyura, Betty R; Winston, Andrew S (September 2006). "Case for Non-Biased Intelligence Testing Against Black Africans Has Not Been Made: A Comment on Rushton, Skuy, and Bons". International Journal of Selection and Assessment. 14 (3): 278–287. doi:10.1111/j.1468-2389.2006.00346.x. S2CID 91179275.
• Daley, C. E.; Onwuegbuzie, A. J. (2011). "Race and Intelligence". In Sternberg, R.; Kaufman, S. B. (eds.). The Cambridge Handbook of Intelligence. Cambridge New York: Cambridge University Press. pp. 293–306. ISBN 978-0-521-51806-2.
• Deary, Ian J (2001). Intelligence: A Very Short Introduction. Oxford University Press. ISBN 978-0-19-289321-5.
• Deary, I. J.; Penke, L.; Johnson, W. (2010). "The neuroscience of human intelligence differences" (PDF). Nature Reviews Neuroscience. 11 (3): 201–211. doi:10.1038/nrn2793. hdl:20.500.11820/9b11fac3-47d0-424c-9d1c-fe6f9ff2ecac. PMID 20145623. S2CID 5136934. Archived (PDF) from the original on 2018-07-19. Retrieved 2019-01-26.
• Deary, IJ; Johnson, W; Houlihan, LM (2009). "Genetic foundations of human intelligence" (PDF). Human Genetics. 126 (1): 215–32. doi:10.1007/s00439-009-0655-4. hdl:20.500.11820/c3e0a75b-dad6-4860-91c6-b242221af681. PMID 19294424. S2CID 4975607. Archived (PDF) from the original on 2020-08-01. Retrieved 2019-12-07.
• Dickens, William T; Flynn, James R (2001). "Heritability estimates versus large environmental effects: The IQ paradox resolved". Psychological Review. 108 (2): 346–69. CiteSeerX 10.1.1.139.2436. doi:10.1037/0033-295X.108.2.346. PMID 11381833.
• Dickens, William T; Flynn, James R (2006). "Black Americans Reduce the Racial IQ Gap: Evidence from Standardization Samples" (PDF). Psychological Science. 17 (10): 913–20. CiteSeerX 10.1.1.186.2540. doi:10.1111/j.1467-9280.2006.01802.x. PMID 17100793. S2CID 6593169. Archived from the original (PDF) on 2009-10-09.
• Elhoweris, Hala; Mutua, Kagendo; Alsheikh, Negmeldin; Holloway, Pauline (2005). "Effect of Children's Ethnicity on Teachers' Referral and Recommendation Decisions in Gifted and Talented Programs". Remedial and Special Education. 26: 25–31. doi:10.1177/07419325050260010401. S2CID 146321193.
• Eppig, Christopher (2011). "Why Is Average IQ Higher in Some Places?". Scientific American. Archived from the original on 2020-04-01. Retrieved 2011-11-20.
• Evans, Gavin (2019). Skin Deep: Journeys in the Divisive Science of Race. London: Oneworld Publications. ISBN 978-1-78607-622-9. OCLC 1059232398.
• Eyferth, K (1961). "Leistungern verscheidener Gruppen von Besatzungskindern Hamburg-Wechsler Intelligenztest für Kinder (HAWIK)". Archiv für die gesamte Psychologie (in German). 113: 222–41.
• Eysenck, Hans J (1987). "Intelligence and Reaction Time: The Contribution of Arthur Jensen". In Modgil, S; Modgil, C (eds.). Arthur Jensen: Consensus and controversy. New York, NY: Falmer.
• Falk, Avner (2008). Anti-semitism: a history and psychoanalysis of contemporary hatred. Praeger. p. 312. ISBN 978-0-313-35385-7.
• Flynn, James R (1991). "Reaction times show that both Chinese and British children are more intelligent than one another". Perceptual and Motor Skills. 72 (2): 544–6. doi:10.2466/pms.1991.72.2.544. S2CID 144091744.
• Flynn, James R (3 September 2008). "Perspectives: Still a question of black vs white?". New Scientist. 199 (2672) (magazine issue ed.): 48–50. doi:10.1016/S0262-4079(08)62253-8. Archived from the original on 7 July 2011. Retrieved 6 February 2011.
• Flynn, James R (2009b). "Would you wish the research undone?". Nature. 458 (7235): 146. Bibcode:2009Natur.458..146F. doi:10.1038/458146a. PMID 19279612.
• Flynn, James R (2010). "The spectacles through which I see the race and IQ debate" (PDF). Intelligence. 38 (4): 363–6. doi:10.1016/j.intell.2010.05.001. Archived (PDF) from the original on 2020-12-07. Retrieved 2011-02-18.
• Flynn, James R. (2012). Are We Getting Smarter? Rising IQ in the Twenty-First Century. Cambridge: Cambridge University Press. ISBN 978-1-107-60917-4.
  • Lay summary in: Lea Winerman (March 2013). "Smarter than ever?". Monitor on Psychology.
• Gottfredson, Linda S (1997). "Mainstream Science on Intelligence (editorial)" (PDF). Intelligence. 24: 13–23. doi:10.1016/S0160-2896(97)90011-8. Archived (PDF) from the original on 2014-12-22. Retrieved 2005-01-08.
• Gottfredson, Linda S (2007). "Applying Double Standards to 'Divisive' Ideas: Commentary on Hunt and Carlson". Perspectives on Psychological Science. 2 (2): 216–220. doi:10.1111/j.1745-6916.2007.00039.x. PMID 26151962. S2CID 21203607.
• Gould, Stephen Jay (1981). The Mismeasure of Man. New York, London: Norton. ISBN 978-0-393-30056-7.
• Graves, Joseph L. (2001). The Emperor's New Clothes: Biological Theories of Race at the Millennium (Kindle ed.). Rutgers University Press. ISBN 978-0-8135-2847-2.
• Graves, Joseph L (2002a). "The Misuse of Life History Theory: JP Rushton and the Pseudoscience of Racial Hierarchy". In Fish, Jefferson M (ed.). Race and Intelligence: Separating Myth from Reality. Laurence Erlbaum Associates. pp. 57–94. ISBN 978-0-8058-3757-5.
• Graves, Joseph L Jr (2002b). "What a tangled web he weaves: Race, reproductive strategies and Rushton's life history theory". Anthropological Theory. 2 (2): 131–54. doi:10.1177/1469962002002002627. S2CID 144377864.
• Gray, Jeremy R; Thompson, Paul M (2004). "Neurobiology of intelligence: science and ethics" (PDF). Nature Reviews Neuroscience. 5 (6): 471–82. doi:10.1038/nrn1405. PMID 15152197. S2CID 2430677. Archived (PDF) from the original on 2018-07-14. Retrieved 2019-05-10.
• Grossman, James B; Kaufman (2001). "Evolutionary Psychology: Promise and Perils". In Sternberg, Robert J; Kaufman, James C (eds.). The evolution of intelligence. Routledge. ISBN 978-0-8058-3267-9.
• Hampshire, A.; Highfield, R. R.; Parkin, B. L.; Owen, A. M. (2012). "Fractionating human intelligence". Neuron. 76 (6): 1225–1237. doi:10.1016/j.neuron.2012.06.022. PMID 23259956.
• Herrnstein, Richard J; Murray, Charles (1994). The Bell Curve: Intelligence and Class Structure in American Life. New York: Free Press. ISBN 978-0-02-914673-6.
• Ho, KC; Roessmann, U; Straumfjord, JV; Monroe, G (December 1980). "Analysis of brain weight. I. Adult brain weight in relation to sex, race, and age". Archives of Pathology & Laboratory Medicine. 104 (12): 635–9. PMID 6893659.
• Hunt, Earl (2010). Human Intelligence. Cambridge University Press. ISBN 978-0-521-70781-7.
• Hunt, Earl; Carlson, Jerry (2007). "Considerations relating to the study of group differences in intelligence". Perspectives on Psychological Science. 2 (2): 194–213. doi:10.1111/j.1745-6916.2007.00037.x. PMID 26151960. S2CID 32540018.
• Hunt, Earl; Wittmann, Werner (January–February 2008). "National intelligence and national prosperity". Intelligence. 36 (1): 1–9. doi:10.1016/j.intell.2006.11.002.
• Irvine, SH (1983). "Where intelligence tests fail". Nature. 302 (5907): 371. Bibcode:1983Natur.302..371I. doi:10.1038/302371b0. S2CID 41604729.
• Irvine, SH; Berry, JW, eds. (1988). Human Abilities in Cultural Context. Cambridge University Press. ISBN 978-0-521-34482-1.
• Ivanovic, Daniza M.; Leiva, Boris P.; Pérez, Hernán T.; Olivares, Manuel G.; Dı́az, Nora S.; Urruti, Marı́a Soledad C.; Almagià, Atilio F.; Toro, Triana D.; Miller, Patricio T.; Bosch, Enrique O.; Larraı́n, Cristián G. (2004). "Head size and intelligence, learning, nutritional status and brain development. Head, IQ, learning, nutrition and brain". Neuropsychologia. 42 (8): 1118–31. doi:10.1016/j.neuropsychologia.2003.11.022. PMID 15093150. S2CID 2114185.
• Jackson, John P.; Weidman, Nadine M. (2004). Race, Racism, and Science: Social Impact and Interaction. ABC-CLIO. p. 23.
• Jackson, John P. (2005). Science for Segregation: Race, Law, and the Case against Brown v. Board of Education. NYU Press. ISBN 978-0-8147-4271-6.
  • Lay summary in: "Book Review: Science for Segregation: Race, Law, and the Case Against Brown v. Board of Education". History Cooperative.
• Jensen, Arthur R (1969). "How Much Can We Boost IQ and Scholastic Achievement?". Harvard Educational Review. 39: 1–123. doi:10.17763/haer.39.1.l3u15956627424k7.
• Jensen, Arthur R (1973). Educability and Group Differences. London: Methuen. ISBN 978-0-06-012194-5.
• Jensen, Arthur R; Whang, PA (1993). "Reaction times and intelligence: a comparison of Chinese-American and Anglo-American children". Journal of Biosocial Science. 25 (3): 397–410. doi:10.1017/s0021932000020721. PMID 8360233. S2CID 18171436.
• Jensen, Arthur R (1998). The g factor: The science of mental ability. Westport, CT: Praeger. ISBN 978-0-275-96103-9.
• Jensen, AR (2006). Clocking the mind: Mental chronometry and individual differences. Amsterdam: Elsevier. ISBN 978-0-08-044939-5.
• Jensen, Arthur R; Johnson, Fred W (May–June 1994). "Race and sex differences in head size and IQ". Intelligence. 18 (3): 309–33. doi:10.1016/0160-2896(94)90032-9.
• Kamin, Leon J. (March 2006). "African IQ and Mental Retardation". South African Journal of Psychology. 36 (1): 1–9. doi:10.1177/008124630603600101. S2CID 92984213.
• Kaplan, Jonathan Michael (January 2011). "'Race': What Biology Can Tell Us about a Social Construct". Encyclopedia of Life Sciences. doi:10.1002/9780470015902.a0005857. ISBN 978-0-470-01617-6. Archived from the original on 2021-05-25. Retrieved 2012-02-22.
• Kaplan, Jonathan Michael (6 February 2014). "Race, IQ, and the search for statistical signals associated with so-called "X"-factors: environments, racism, and the "hereditarian hypothesis"". Biology & Philosophy. 30 (1): 1–17. doi:10.1007/s10539-014-9428-0. S2CID 85351431.
• Kaplan, J. M.; Winther, R. G. (2013). "Prisoners of Abstraction? The Theory and Measure of Genetic Variation, and the Very Concept of 'Race'" (PDF). Biological Theory. 7: 401–412. doi:10.1002/9780470015902.a0005857.
• Kaszycka, Katarzyna A.; Štrkalj, Goran; Strzałko, Jan (2009). "Current Views of European Anthropologists on Race: Influence of Educational and Ideological Background". American Anthropologist. 111 (1): 43–56. doi:10.1111/j.1548-1433.2009.01076.x.
• Lieberman, Leonard (2001). "How "Caucasoids" got such big crania and why they shrank: from Morton to Rushton."". Current Anthropology. 42 (1): 69–95. doi:10.1086/318434. PMID 14992214. S2CID 224794908.
• Loehlin, John C (2000). "Group Differences in Intelligence". In Sternberg, Robert J (ed.). The Handbook of Intelligence. Cambridge: Cambridge University Press.
• Ludy, Benjamin T (2006). Brief History of Modern Psychology. Wiley-Blackwell. pp. 188–91. ISBN 978-1-4051-3206-0.
• MacEachern, Scott (March 2006). "Africanist archaeology and ancient IQ: racial science and cultural evolution in the twenty-first century". World Archaeology. 38 (1): 72–92. doi:10.1080/00438240500509918. S2CID 162340124.
• Mackenzie, Brian (1984). "Explaining race differences in IQ: The logic, the methodology, and the evidence". American Psychologist. 39 (11): 1214–1233. doi:10.1037/0003-066x.39.11.1214.
• Mackintosh, N. J. (1998). IQ and Human Intelligence. Oxford University Press. ISBN 978-0-19-852367-3.
• Mackintosh, N. J. (2011). IQ and Human Intelligence (second ed.). Oxford: Oxford University Press. ISBN 978-0-19-958559-5.
• Manly, JJ; Byrd, DA; Touradji, P; Stern, Yaakov (2004). "Acculturation, Reading Level, and Neuropsychological Test Performance Among African American Elders". Applied Neuropsychology. 11 (1): 37–46. doi:10.1207/s15324826an1101_5. PMID 15471745. S2CID 30490056.
• Manly, Jennifer J; Jacobs, Diane M; Touradji, Pegah; Small, Scott A; Stern, Yaakov (2002). "Reading level attenuates differences in neuropsychological test performance between African American and White elders". Journal of the International Neuropsychological Society. 8 (3): 341–348. doi:10.1017/S1355617702813157. PMID 11939693. S2CID 14360177.
• Maltby, John; Day, Liz; Macaskill, Ann (2007). Personality, Individual Differences and Intelligence. Pearson Education. pp. 334–47. ISBN 978-0-13-129760-9.
• McDaniel, M. A. (2005). "Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence". Intelligence. 33 (4): 337–346. doi:10.1016/j.intell.2004.11.005.
• Mickelson, Roslyn Arlin (2003). "When Are Racial Disparities in Education the Result of Racial Discrimination? A Social Science Perspective". Teachers College Record. 105 (6): 1052–1086. doi:10.1111/1467-9620.00277.
• Miele, Frank (2002). Intelligence, Race and Genetics: Conversations with Arthur R. Jensen. Basic Books. p. 256.
• MMWR (27 May 2005). "Blood Lead Levels—United States, 1999–2002". Morbidity and Mortality Weekly Report. 54 (20): 513–6. PMID 15917736. Archived from the original on 5 November 2019. Retrieved 10 September 2017.
• Moore, Elsie G (May 1986). "Family socialization and the IQ test performance of traditionally and transracially adopted Black children". Developmental Psychology. 22 (3): 317–26. doi:10.1037/0012-1649.22.3.317.
• Moore, David S.; Shenk, David (2016-12-01). "The heritability fallacy". Wiley Interdisciplinary Reviews: Cognitive Science. 8 (1–2): e1400. doi:10.1002/wcs.1400. ISSN 1939-5078. PMID 27906501.
• Murray, Charles (2006). "Changes over time in the black–white difference on mental tests: Evidence from the children of the 1979 cohort of the National Longitudinal Survey of Youth". Intelligence. 34 (6): 527–540. doi:10.1016/j.intell.2006.07.004.
• Murray, Charles (July–August 2007). "The magnitude and components of change in the black–white IQ difference from 1920 to 1991: A birth cohort analysis of the Woodcock–Johnson standardizations". Intelligence. 35 (4): 305–18. doi:10.1016/j.intell.2007.02.001.
• Neisser, Ulric (2004). "Serious Scientists or Disgusting Racists?". Contemporary Psychology: APA Review of Books. 49 (1): 5–7. doi:10.1037/004224.
• Neisser, Ulric; Boodoo, Gwyneth; Bouchard, Thomas J Jr; Boykin, A. Wade; Brody, Nathan; Ceci, Stephen J; Halpern, Diane F; Loehlin, John C; Perloff, Robert; Sternberg, Robert J; Urbina, Susana (1996). "Intelligence: Knowns and unknowns" (PDF). American Psychologist. 51 (2): 77–101. doi:10.1037/0003-066X.51.2.77. Archived (PDF) from the original on 2015-04-20. Retrieved 2014-08-23.
• Nevid, Jeffrey S. (2014-01-17). Essentials of Psychology: Concepts and Applications. Cengage Learning. ISBN 978-1-285-75122-1. Archived from the original on 2023-03-20. Retrieved 2018-01-30.
• Nisbett, Richard (2005). "Heredity, environment, and race differences in IQ: A commentary on Rushton and Jensen" (PDF). Psychology, Public Policy, and Law. 11 (2): 302–10. doi:10.1037/1076-8971.11.2.302. Archived (PDF) from the original on 2011-06-05. Retrieved 2010-04-08.
• Nisbett, Richard (2009). Intelligence and How to Get It: Why Schools and Cultures Count. W. W. Norton & Company. ISBN 978-0-393-06505-3.
• Nisbett, Richard E.; Aronson, Joshua; Blair, Clancy; Dickens, William; Flynn, James; Halpern, Diane F.; Turkheimer, Eric (2012a). "Intelligence: new findings and theoretical developments". American Psychologist. 67 (2): 130–159. doi:10.1037/a0026699. ISSN 0003-066X. PMID 22233090.
  • Lay summary in: "The latest on intelligence". Daniel Willingham. 2012-05-10.
• Nisbett, Richard E.; Aronson, Joshua; Blair, Clancy; Dickens, William; Flynn, James; Halpern, Diane F.; Turkheimer, Eric (2012b). "Group differences in IQ are best understood as environmental in origin" (PDF). American Psychologist. 67 (6): 503–504. doi:10.1037/a0029772. ISSN 0003-066X. PMID 22963427. Archived (PDF) from the original on 23 January 2015. Retrieved 22 July 2013.
• Niu, Weihua; Brass, Jillian (2011). "Intelligence in Worldwide Perspective". In Sternberg, Robert J; Kaufmann, Scott Barry (eds.). The Cambridge Handbook of Intelligence. Cambridge University Press. ISBN 978-0-521-51806-2.
• Ogbu, John (1978). Minority Education and Caste: The American System in Cross-Cultural Perspective. New York: Academic Press. ISBN 978-0-125-24250-9.
• Ogbu, John U (1994). "From cultural differences to differences in cultural frames of reference". In Greenfield, PM; Cocking, RR (eds.). Cross-cultural roots of minority child development. Hillsdale, NJ: Lawrence Erlbaum Associates. pp. 365–91.
• Olness, K (April 2003). "Effects on brain development leading to cognitive impairment: a worldwide epidemic". Journal of Developmental and Behavioral Pediatrics. 24 (2): 120–30. doi:10.1097/00004703-200304000-00009. PMID 12692458. S2CID 31999992.
• Pickren, Wade E; Rutherford, Alexandra (2010). A History of Modern Psychology in Context. Wiley.
• Plotnik, Rod; Kouyoumdjian, Haig (2011). "Intelligence". Introduction to Psychology. Cengage Learning.
• Qian, M; Wang, D; Watkins, WE; Gebski, V; Yan, YQ; Li, M; Chen, ZP (2005). "The effects of iodine on intelligence in children: a meta-analysis of studies conducted in China". Asia Pacific Journal of Clinical Nutrition. 14 (1): 32–42. PMID 15734706.
• Reichman, Nancy E. (2005). "Low birth weight and school readiness". The Future of Children. 15 (1): 91–116. doi:10.1353/foc.2005.0008. ISSN 1054-8289. PMID 16130543. S2CID 23345980.
• Reuning, Helmut (1988). "Testing Bushmen in the Central Kalahari". In Irvine, SH; Berry, JW (eds.). Human Abilities in Cultural Context. Cambridge University Press. pp. 453–486. doi:10.1017/CBO9780511574603.018. ISBN 978-0-511-57460-3. Archived from the original on 2011-07-25. Retrieved 2010-04-26.
• Richardson, K (2004). "Book Review: IQ and the Wealth of Nations". Heredity. 92 (4): 359–60. doi:10.1038/sj.hdy.6800418.
• Rindermann, Heiner; Thompson, James (November 2013). "Ability rise in NAEP and narrowing ethnic gaps?". Intelligence. 41 (6): 821–831. doi:10.1016/j.intell.2013.06.016.
• Rose, Steven (2009). "Darwin 200: Should scientists study race and IQ? NO: Science and society do not benefit". Nature. 457 (7231): 786–8. Bibcode:2009Natur.457..786R. doi:10.1038/457786a. PMID 19212384. S2CID 42846614.
• Roth, PL; Bevier, CA; Bobko, P; Switzer, FS III; Tyler, P (2001). "Ethnic group differences in cognitive ability in employment and educational settings: A metaanalysis". Personnel Psychology. 54 (2): 297–330. CiteSeerX 10.1.1.372.6092. doi:10.1111/j.1744-6570.2001.tb00094.x.
• Rouvroy, Antoinette (2008). Human genes and neoliberal governance: a Foucauldian critique. Routledge. p. 86. ISBN 978-0-415-44433-0.
• Rowe, David C (January 2005). Rodgers, Joseph (ed.). "Under the Skin: On the Impartial Treatment of Genetic and Environmental Hypothesis of Racial Differences". American Psychologist. 60 (1): 60–70. doi:10.1037/0003-066X.60.1.60. PMID 15641922.
• Rushton, J. Philippe; Jensen, Arthur R (2005). "Thirty Years of Research on Race Differences in Cognitive Ability" (PDF). Psychology, Public Policy, and Law. 11 (2): 246–8. CiteSeerX 10.1.1.186.102. doi:10.1037/1076-8971.11.2.235. Archived from the original (PDF) on 2015-11-03.
• Saloojee, Haroon; Pettifor, John M (December 2001). "Iron deficiency and impaired child development". BMJ. 323 (7326): 1377–8. doi:10.1136/bmj.323.7326.1377. PMC 1121846. PMID 11744547.
• Scarr, S.; Weinberg, R. A. (1990). "The nature-nurture problem revisited: The Minnesota adoption studies". Methods of family research: Biographies of research projects. Vol. 1. pp. 121–151.
• Scarr, S.; Weinberg, R. A. (1976). "IQ test performance of black children adopted by White families". American Psychologist. 31 (10): 726–739. doi:10.1037/0003-066x.31.10.726. S2CID 32410011.
• Schacter, Daniel; Gilbert, Daniel; Wegner, Daniel (2007). Psychology. New York: Worth Publishing. ISBN 978-0-7167-5215-8.
• James A. Banks (2008). "Race". In Schaefer, Richard T. (ed.). Encyclopedia of Race, Ethnicity and Society. Vol. 2. SAGE. p. 1091.
• Serpell, Robert (2000). "Intelligence and Culture". In Sternberg, Robert J. (ed.). Handbook of Intelligence. Cambridge University Press. pp. 549–577. ISBN 978-0-521-59648-0.
• Sheppard, Leah D.; Vernon, Philip A. (February 2008). "Intelligence and speed of information-processing: A review of 50 years of research". Personality and Individual Differences. 44 (3): 535–551. doi:10.1016/j.paid.2007.09.015.
• Shurkin, Joel (2006). Broken Genius: The Rise and Fall of William Shockley, Creator of the Electronic Age. London: Macmillan. ISBN 978-1-4039-8815-7.
  • Lay summary in: Brian Clegg. "Review - Broken Genius - Joel Shurkin". Popular Science. Archived from the original on 2006-10-06.
• Shuttleworth-Edwards, AB; Kemp, RD; Rust, AL; Muirhead, JG; Hartman, NP; Radloff, SE (October 2004). "Cross-cultural effects on IQ test performance: a review and preliminary normative indications on WAIS-III test performance". Journal of Clinical and Experimental Neuropsychology. 26 (7): 903–20. doi:10.1080/13803390490510824. PMID 15742541. S2CID 16060622.
• Smay, Diana; Armelagos, George (July 2000). "Galileo Wept: A Critical Assessment of the Use of Race in Forensic Anthropology". Transforming Anthropology. 9 (2): 19–29. doi:10.1525/tran.2000.9.2.19. S2CID 143942539.
• Snyderman, Mark; Rothman, Stanley (1987). "Survey of expert opinion on intelligence and aptitude testing". American Psychologist. 42 (2): 137–44. doi:10.1037/0003-066x.42.2.137.
• Sternberg, Robert J; Grigorenko, Elena L; Kidd, Kenneth K (2005). "Intelligence, Race, and Genetics" (PDF). American Psychologist. 60 (1): 46–59. CiteSeerX 10.1.1.174.313. doi:10.1037/0003-066X.60.1.46. PMID 15641921. Archived from the original (PDF) on 2011-07-20.
• Sternberg, R. J.; Grigorenko, E. L. (2007). "The Difficulty of Escaping Preconceptions in Writing an Article About the Difficulty of Escaping Preconceptions: Commentary on Hunt and Carlson (2007)". Perspectives on Psychological Science. 2 (2): 221–223. doi:10.1111/j.1745-6916.2007.00040.x. PMID 26151963. S2CID 21096328.
• Spiro, Jonathan P. (2009). Defending the Master Race: Conservation, Eugenics, and the Legacy of Madison Grant. Univ. of Vermont Press. ISBN 978-1-58465-715-6.
• Suzuki, Lisa; Aronson, Joshua (2005). "The cultural malleability of intelligence and its impact on the racial/ethnic hierarchy". Psychology, Public Policy, and Law. 11 (2): 320–327. CiteSeerX 10.1.1.1022.3693. doi:10.1037/1076-8971.11.2.320.
• Tang, Hua; Quertermous, Tom; Rodriguez, Beatriz; Kardia, Sharon L.R.; Zhu, Xiaofeng; Brown, Andrew; Pankow, James S.; Province, Michael A.; Hunt, Steven C.; Boerwinkle, Eric; Schork, Nicholas J.; Risch, Neil J. (February 2005). "Genetic structure, self-identified race/ethnicity, and confounding in case-control association studies". American Journal of Human Genetics. 76 (2): 268–75. doi:10.1086/427888. PMC 1196372. PMID 15625622.
• Templeton, A. R. (2001), "The Genetic and Evolutionary Significance of Human Races", in Fish, J. M. (ed.), Race and Intelligence Separating Science from Myth, London: Routledge, pp. 31–55, ISBN 978-0-8058-3757-5
• Thompson, Paul M.; Cannon, Tyrone D.; Narr, Katherine L.; van Erp, Theo; Poutanen, Veli-Pekka; Huttunen, Matti; Lönnqvist, Jouko; Standertskjöld-Nordenstam, Carl-Gustaf; Kaprio, Jaakko; Khaledy, Mohammad; Dail, Rajneesh; Zoumalan, Chris I.; Toga, Arthur W. (2001). "Genetic influences on brain structure" (PDF). Nature Neuroscience. 4 (12): 1253–58. doi:10.1038/nn758. PMID 11694885. S2CID 7132470. Archived from the original (PDF) on 2011-05-15.
• Tizard, Barbara; Cooperman, Oliver; Joseph, Anne; Tizard, Jack (June 1972). "Environmental effects on language development: A study of young children in long-stay residential nurseries". Child Development. 43 (2): 337–58. doi:10.2307/1127540. JSTOR 1127540.
• Tucker, William H (2002). The Funding of Scientific Racism: Wickliffe Draper and the Pioneer Fund. University of Illinois Press. ISBN 978-0-252-02762-8.
• Verney, Steven P.; Granholm, Eric; Marshall, Sandra P.; Malcarne, Vanessa L.; Saccuzzo, Dennis P. (26 July 2016). "Culture-Fair Cognitive Ability Assessment". Assessment. 12 (3): 303–319. doi:10.1177/1073191105276674. PMID 16123251. S2CID 31024437.
• Vincent, Ken R. (March 1991). "Black/white IQ differences: Does age make the difference?". Journal of Clinical Psychology. 47 (2): 266–270. doi:10.1002/1097-4679(199103)47:2<266::aid-jclp2270470213>3.0.co;2-s. PMID 2030133.
• Weinberg, Richard A.; Scarr, Sandra; Waldman, Irwin D. (1992). "The Minnesota Transracial Adoption Study: A Follow-Up of IQ Test Performance at Adolescence". Intelligence. 16 (1): 117–35. doi:10.1016/0160-2896(92)90028-P.
• Wicherts, Jelte M; Borsboom, Denny; Dolan, Conor V (2010). "Why national IQs do not support evolutionary theories of intelligence". Personality and Individual Differences. 48 (2): 91–6. doi:10.1016/j.paid.2009.05.028.
• Wicherts, Jelte M.; Borsboom, Denny; Dolan, Conor V. (2010b). "Evolution, brain size, and the national IQ of peoples around 3000 years B.C". Personality and Individual Differences. 48 (2): 104–106. doi:10.1016/j.paid.2009.08.020.
• Wicherts, Jelte M.; Dolan, Conor V.; Carlson, Jerry S.; van der Maas, Han L.J. (June 2010). "Raven's test performance of sub-Saharan Africans: Average performance, psychometric properties, and the Flynn Effect". Learning and Individual Differences. 20 (3): 135–151. doi:10.1016/j.lindif.2009.12.001.
• Wicherts, Jelte M.; Dolan, Conor V.; van der Maas, Han L.J. (January 2010). "A systematic literature review of the average IQ of sub-Saharan Africans". Intelligence. 38 (1): 1–20. doi:10.1016/j.intell.2009.05.002.
• Witelson, S. F.; Beresh, H.; Kigar, D. L. (February 2006). "Intelligence and brain size in 100 postmortem brains: sex, lateralization and age factors". Brain. 129 (2): 386–398. doi:10.1093/brain/awh696. PMID 16339797.
• Wooldridge, Adrian (1995). Measuring the Mind: Education and Psychology in England c. 1860-c. 1990. Cambridge University Press. ISBN 978-0-521-39515-1.
• Wroe, Andrew (2008). The Republican Party and Immigration Politics: from Proposition 187 to George W. Bush. Macmillan. p. 294. ISBN 978-0-230-60053-9.

• Race (human categorization)
• Factors related to intelligence
• Race and intelligence controversy
• Human population genetics
• Scientific controversies
• Anthropology
• Scientific racism
• Eugenics