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Intelligence quotient

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"IQ" redirects here. For other uses, see IQ (disambiguation).
The IQs of a large enough population can be modeled with a Normal Distribution.

An intelligence quotient, or IQ, is a score derived from one of several different standardized tests designed to assess intelligence. The term "IQ", from the German Intelligenz-Quotient, was devised by the German psychologist William Stern in 1912[1] as a proposed method of scoring children's intelligence tests such as those developed by Alfred Binet and Théodore Simon in the early 20th Century.[2]

Although the term "IQ" is still in common use, the scoring of modern IQ tests such as the Wechsler Adult Intelligence Scale is now based on a projection of the subject's measured rank on the Gaussian bell curve with a center value (average IQ) of 100, and a standard deviation of 15, although not all tests adhere to that standard deviation.

IQ scores have been shown to be associated with such factors as morbidity and mortality,[3] parental social status,[4] and to a substantial degree, parental IQ. While its inheritance has been investigated for nearly a century, controversy remains as to how much is inheritable, and the mechanisms of inheritance are still a matter of some debate.[5]

IQ scores are used in many contexts: as predictors of educational achievement or special needs, by social scientists who study the distribution of IQ scores in populations and the relationships between IQ score and other variables, and as predictors of job performance and income.

The average IQ scores for many populations have been rising at an average rate of three points per decade since the early 20th century with most of the increase in the lower half of the IQ range: a phenomenon called the Flynn effect. It is disputed whether these changes in scores reflect real changes in intellectual abilities, or merely methodological problems with past or present testing.

History

Psychometrics

Englishman Francis Galton, influenced by Darwinism, founded eugenics (and later psychometrics) to measure differences between upper and lower classes.[6] Galton argued that due to heredity white aristocrats were intellectually superior to other humans and that nurture played a lesser role in intellectual capacity.[7]

Clinical diagnostics

French psychologist Alfred Binet gave more weight to nurture, arguing that intelligence could be improved.[8] Binet and fellow French psychologist Théodore Simon later developed the Binet-Simon test for measuring intellectual development or mental age to diagnose French children in need of special assistance classes.[9] Binet-Simon tasks were diverse in order to neutralize individual differences in types of intelligence and provide a general measure.

Intelligence testing

English psychologist Charles Spearman, however, did not believe there were different types of intelligence.[10] He devised a correlational formula to define a common intellective factor (which he called "general intelligence"), a factor that Binet argued did not exist.[11]

Intelligence quotient (IQ)

In 1910 the eugenics movement in the USA seized on the Binet-Simon test as means to give them credibility in diagnosing mental retardation after American psychologist Henry H. Goddard published a translation of it that same year.[12] American psychologist Lewis Terman revised the Binet-Simon scale, implementing German psychologist William Stern’s intelligence quotient (I.Q.) ratio of mental age to chronological age and used the resulting Stanford-Binet scale as a measure of general intelligence.[13]

World War I: large scale testing

A team of psychologists led by eugenicist Robert Yerkes assisted the US army to rapidly assess and assign huge numbers of personnel.[14] They developed two group-administered intelligence tests for this purpose: an alpha test for literate personnel; and a beta for the illiterate. They successfully tested 1,726,000 recruits.[15] However, there was too little time for validity testing[16] and not enough staff to administer tests correctly.[17] Many officers distrusted the psychologists, accusing them of conducting research for their own purposes[17] using culturally biased tests.[18] Orders were issued that low test scores should not bar men from officer training and that a disability board should consider all discharges.[19] The outcome was that 0.5% of recruits were discharged as mentally inferior, whilst Yerkes would have preferred to have discharged 3% whose results showed a mental age of under 10.[15]

In contrast, another team of psychologists led by Walter Dill Scott defined intelligence as a diverse complex of capacities, as Binet had. They stressed an individual differences approach emphasizing environmental adjustments of mental qualities as functions.[11] Soon they developed a rating scale to classify and place enlisted men according to how they used their intelligence, not their base levels of intelligence.[18] The army was enthusiastic about Scott’s classification of personnel. By the time the war ended they had already been incorporated into the military[17] and had classified 3½ million men and assigned 973,858 to technical units.[15]

Post war to 1929

The army abolished Yerkes’ team after the war but employed two psychologists to continue intelligence testing research.[17] However, a great deal of positive post war publicity on army psychological testing helped to make psychology a respected field.[20] Subsequently there was an increase in jobs and funding in psychology.[21] Group intelligence tests were developed for and became widely used in both primary and secondary schools, universities and industry.[17] But controversy followed when one of Yerkes’ team, Goddard, admitted that they had been guilty of bad logic in finding that 45% of army recruits had a mental age of 12 or less.[22] In addition, there was no agreement on what the intelligence tests measured[23][24][25], and the publication of racial differences in scores[26] led to much criticism that environmental influences on score had not been considered.[23][27]

The modern IQ score is a mathematical transformation of a raw score on an IQ test, based on the rank of that score in a normalization sample.[28] Modern scores are sometimes referred to as "deviation IQ", while older method age-specific scores are referred to as "ratio IQ."

The two methodologies yield similar results near the middle of the bell curve, but the older ratio IQs yielded far higher scores for the intellectually gifted— for example, Marilyn vos Savant, who appeared in the Guinness Book of World Records, obtained a ratio IQ of 228. While this score could make sense using Binet's formula using the ratio of mental age over chronological age (and even then, only for a child), on the Gaussian curve model it would be an exceptional 7.9 standard deviations above the mean and hence highly improbable in a population the size of the human population with a normal IQ distribution (see normal distribution). In addition, IQ tests like the Wechsler were not intended to discriminate reliably much beyond IQ 145, as ceiling effects become a concern.

Since the publication of the Wechsler Adult Intelligence Scale (WAIS), almost all intelligence scales have adopted the normal distribution method of scoring. The use of the normal distribution scoring method makes the term "intelligence quotient" an inaccurate description, mathematically speaking, of the intelligence measurement, but "I.Q." still enjoys colloquial usage, and is used to describe all of the intelligence scales currently in use.

Heritability

Main article: Inheritance of intelligence

The role of genotype and environment (nature and nurture) in determining IQ is reviewed in Plomin et al. (2001, 2003).[29][failed verification] Until recently heritability was mostly studied in children. Various studies find the heritability of IQ between 0.4 and 0.8 in the United States;[30][31][32] that is, depending on the study, a little less than half to substantially more than half of the variation in IQ among the children studied was estimated to be due to genetic variation. It should be noted that heritability measures the proportion of variation that can be attributed to genes within any measured population (however defined), and not the extent that genes contribute to intelligence. It should also be noted that the idea that genetic and environmental influences on intelligence are independent is not necessarily accepted, or as Jeremy Freese says "The lucidity of Lewontin's arguments has historically proven no match for the allure of overly simple characterizations of outcomes as being x% due to genes and (1 – x)% not due to genes". That means that genes affect environment and environment affects genes.[33][34][35][36][37][38] A heritability in the range of 0.4 to 0.8 implies that IQ is "substantially" heritable, that is, some substantial part of the variation within a population is caused at least in part by genes.

The effect of restriction of range on IQ was examined by Matt McGue and colleagues, who wrote that "restriction in range in parent disinhibitory psychopathology and family SES had no effect on adoptive-sibling correlations ... IQ."[39] On the other hand, a 2003 study by Eric Turkheimer, Andreana Haley, Mary Waldron, Brian D'Onofrio, Irving I. Gottesman demonstrated that the proportions of IQ variance attributable to genes and environment vary with socioeconomic status. They found that in impoverished families, 60% of the variance in IQ "in a sample of 7-year-old twins" is accounted for by the shared environment, and the contribution of genes was close to zero.[40]

It is reasonable to expect that genetic influences on traits like IQ should become less important as one gains experiences with age. However, the opposite occurs.[41] Heritability measures in infancy are as low as 20%, around 40% in middle childhood, and as high as 80% in adulthood.[41] The American Psychological Association's 1995 task force on "Intelligence: Knowns and Unknowns" concluded that within the white population the heritability of IQ is "around .75." The Minnesota Study of Twins Reared Apart, a multiyear study of 100 sets of reared-apart twins which was started in 1979, concluded that about 70% of the variance in IQ was found to be associated with genetic variation. Some of the correlation of IQs of twins may be a result of the effect of the maternal environment before birth, shedding some light on why IQ correlation between twins reared apart is so robust.[5] There are a number of points to consider when interpreting heritability:

  • A high heritability does not mean that the environment has no effect on the development of a trait, or that learning is not involved. Vocabulary size, for example, is very substantially heritable (and highly correlated with general intelligence) although every word in an individual's vocabulary is learned. In a society in which plenty of words are available in everyone's environment, especially for individuals who are motivated to seek them out, the number of words that individuals actually learn depends to a considerable extent on their genetic predispositions.[31]
  • A common error is to assume that because something is heritable it is necessarily unchangeable. As previously noted, heritable traits can depend on learning, and they may be subject to other environmental effects as well. The value of heritability can change if the distribution of environments (or of genes) in the population is substantially altered. For example, an impoverished or suppressive environment could fail to support the development of a trait, and hence restrict individual variation. Differences in variation of heritability are found between developed and developing nations. This could affect estimates of heritability.[31] Another example is Phenylketonuria which previously caused mental retardation for everyone who had this genetic disorder. Today, this can be prevented by following a modified diet.
  • On the other hand, there can be effective environmental changes that do not change heritability at all. If the environment relevant to a given trait improves in a way that affects all members of the population equally, the mean value of the trait will rise without any change in its heritability (because the differences among individuals in the population will stay the same). This has evidently happened for height: the heritability of stature is high, but average heights continue to increase.[31]
  • Even in developed nations, high heritability of a trait within a given group has no necessary implications for the source of a difference between groups.[31][42]

Environment

See also: Health and intelligence and environment and intelligence

Environmental factors play a role in determining IQ. Proper childhood nutrition appears critical for cognitive development; malnutrition can lower IQ. For example, iodine deficiency causes a fall, in average, of 12 IQ points.[43] It is expected that average IQ in third world countries will increase dramatically if the deficiencies of iodine and other micronutrients are eradicated.

A recent study found that the FADS2 gene, along with breastfeeding, adds about seven IQ points to those with the "C" version of the gene. Those with the "G" version of the FADS2 gene see no advantage.[44][45]

Musical training in childhood also increases IQ.[46] Recent studies have shown that training in using one's working memory may increase IQ.[47][48]

Family environment

Some studies in the developed world have shown that inherited personality traits cause non-related children raised in the same family ("adoptive siblings") to be as different as children raised in different families.[29][failed verification][49] There are some family effects on the IQ of children, accounting for up to a quarter of the variance; however, by adulthood, this correlation approaches zero.[50] For IQ, adoption studies show that, after adolescence, adoptive siblings are no more similar in IQ than strangers (IQ correlation near zero), while full siblings show an IQ correlation of 0.6. Twin studies reinforce this pattern: monozygotic (identical) twins raised separately are highly similar in IQ (0.86), more so than dizygotic (fraternal) twins raised together (0.6) and much more than adoptive siblings (~0.0).[29][failed verification] However these results make no correction for the social and emotional effects frequently associated with adoption.

Possible bias in older studies

Stoolmiller (1999)[51] found that the range restriction of family environments that goes with adoption, that adopting families tend to be more similar on, for example, socio-economic status than the general population, suggests a possible underestimation of the role of the shared family environment in previous studies. Corrections for range correction applied to adoption studies indicate that socio-economic status could account for as much as 50% of the variance in IQ.[51] However, the effect of restriction of range on IQ for adoption studies was examined by Matt McGue and colleagues, who wrote that "restriction in range in parent disinhibitory psychopathology and family socio-economic status had no effect on adoptive-sibling correlations [in] IQ".[39]

Eric Turkheimer and colleagues (2003),[52] not using an adoption study, included impoverished US families. Results demonstrated that the proportions of IQ variance attributable to genes and environment vary nonlinearly with socio-economic status. The models suggest that in impoverished families, 60% of the variance in IQ is accounted for by the shared family environment, and the contribution of genes is close to zero; in affluent families, the result is almost exactly the reverse.[53] They suggest that the role of shared environmental factors may have been underestimated in older studies which often only studied affluent middle class families.[54]

Maternal (fetal) environment

A meta-analysis, by Devlin and colleagues in Nature (1997),[5] of 212 previous studies evaluated an alternative model for environmental influence and found that it fits the data better than the 'family-environments' model commonly used. The shared maternal (fetal) environment effects, often assumed to be negligible, account for 20% of covariance between twins and 5% between siblings, and the effects of genes are correspondingly reduced, with two measures of heritability being less than 50%.

Bouchard and McGue reviewed the literature in 2003, arguing that Devlin's conclusions about the magnitude of heritability is not substantially different from previous reports and that their conclusions regarding prenatal effects stands in contradiction to many previous reports.[55] They write that:

Chipuer et al. and Loehlin conclude that the postnatal rather than the prenatal environment is most important. The Devlin et al. conclusion that the prenatal environment contributes to twin IQ similarity is especially remarkable given the existence of an extensive empirical literature on prenatal effects. Price (1950), in a comprehensive review published over 50 years ago, argued that almost all MZ twin prenatal effects produced differences rather than similarities. As of 1950 the literature on the topic was so large that the entire bibliography was not published. It was finally published in 1978 with an additional 260 references. At that time Price reiterated his earlier conclusion. Research subsequent to the 1978 review largely reinforces Price’s hypothesis.

The Dickens and Flynn model

Dickens and Flynn[56] postulate that the arguments regarding the disappearance of the shared family environment should apply equally well to groups separated in time. This is contradicted by the Flynn effect. Changes here have happened too quickly to be explained by genetic heritable adaptation. This paradox can be explained by observing that the measure "heritability" includes both a direct effect of the genotype on IQ and also indirect effects where the genotype changes the environment, in turn affecting IQ. That is, those with a higher IQ tend to seek out stimulating environments that further increase IQ. The direct effect can initially have been very small but feedback loops can create large differences in IQ. In their model an environmental stimulus can have a very large effect on IQ, even in adults, but this effect also decays over time unless the stimulus continues (the model could be adapted to include possible factors, like nutrition in early childhood, that may cause permanent effects). The Flynn effect can be explained by a generally more stimulating environment for all people. The authors suggest that programs aiming to increase IQ would be most likely to produce long-term IQ gains if they taught children how to replicate outside the program the kinds of cognitively demanding experiences that produce IQ gains while they are in the program and motivate them to persist in that replication long after they have left the program.[56][57]

IQ and the brain

Main article: Neuroscience and intelligence

In 2004, Richard Haier, professor of psychology in the Department of Pediatrics and colleagues at University of California, Irvine and the University of New Mexico used MRI to obtain structural images of the brain in 47 normal adults who also took standard IQ tests. The study demonstrated that general human intelligence appears to be based on the volume and location of gray matter tissue in the brain, and also demonstrated that, of the brain's gray matter, only about 6 percent appeared to be related to IQ.[58]

Many different sources of information have converged on the view that the frontal lobes are critical for fluid intelligence. Patients with damage to the frontal lobe are impaired on fluid intelligence tests (Duncan et al. 1995). The volume of frontal grey (Thompson et al. 2001) and white matter (Schoenemann et al. 2005) have also been associated with general intelligence. In addition, recent neuroimaging studies have limited this association to the lateral prefrontal cortex. Duncan and colleagues (2000) showed using Positron Emission Tomography that problem-solving tasks that correlated more highly with IQ also activate the lateral prefrontal cortex. More recently, Gray and colleagues (2003) used functional magnetic resonance imaging (fMRI) to show that those individuals that were more adept at resisting distraction on a demanding working memory task had both a higher IQ and increased prefrontal activity. For an extensive review of this topic, see Gray and Thompson (2004).[59]

A study involving 307 children (age between six to nineteen) measuring the size of brain structures using magnetic resonance imaging (MRI) and measuring verbal and non-verbal abilities has been conducted (Shaw et al. 2006). The study has indicated that there is a relationship between IQ and the structure of the cortex—the characteristic change being the group with the superior IQ scores starts with thinner cortex in the early age then becomes thicker than average by the late teens.[60]

There is "a highly significant association" between the CHRM2 gene and intelligence according to a 2006 Dutch family study. The study concluded that there was an association between the CHRM2 gene on chromosome 7 and Performance IQ, as measured by the Wechsler Adult Intelligence Scale-Revised. The Dutch family study used a sample of 667 individuals from 304 families.[61] A similar association was found independently in the Minnesota Twin and Family Study (Comings et al. 2003) and by the Department of Psychiatry at the Washington University.[62]

Significant injuries isolated to one side of the brain, especially those occurring at a young age, may not significantly affect IQ.[63]

Studies reach conflicting conclusions regarding the controversial idea that brain size correlates positively with IQ. Jensen and Reed claim no direct correlation exists in nonpathological subjects.[64] A more recent meta-analysis suggests otherwise.[65]

An alternative approach has sought to link differences in neural plasticity with intelligence,[66] and this view has recently received some empirical support.[67]

Main article: Flynn effect

Since the twentieth century, IQ scores have increased at an average rate of around three IQ points per decade in most parts of the world.[68] This phenomenon has been named the Flynn effect (a.k.a. the "Lynn-Flynn effect") named after Richard Lynn and James R. Flynn. Attempted explanations have included improved nutrition, a trend towards smaller families, better education, greater environmental complexity, and heterosis. Some researchers believe that modern education has become more geared toward IQ tests, thus rendering higher scores, but not necessarily higher intelligence.[69] As a result, tests are routinely renormalized to obtain mean scores of 100, for example WISC-R (1974), WISC-III (1991) and WISC-IV (2003). This adjustment specifically addresses the variation over time, allowing scores to be compared longitudinally.

Some researchers argue that the Flynn effect may have ended in some developed nations, starting in the 1980s in the United Kingdom[70], and in the mid-1990s in Denmark[71] and in Norway.[72]

Mutability

Though generally believed to be immutable, recent research suggests that certain mental activities can change the brain's ability to process information, leading to the conclusion that intelligence can be altered or changed over time. The brain is now properly understood to be neuroplastic and hence far more amenable to change than once was thought. Studies into the neuroscience of animals indicate that challenging activities can produce changes in gene expression patterns of the brain. (Training Degus to Use Rakes [73] and Iriki's earlier research with macaque monkeys indicating brain changes.)

A study on young adults published in April 2008 by a team from the Universities of Michigan and Bern supports the possibility of the transfer of fluid intelligence from specifically designed working memory training.[74] Further research will be needed to determine nature, extent and duration of the proposed transfer:[75] Among other questions, it remains to be seen whether the results extend to other kinds of fluid intelligence tests than the matrix test used in the study, and if so, whether, after training, fluid intelligence measures retain their correlation with educational and occupational achievement or if the value of fluid intelligence for predicting performance on other tasks changes. It is also unclear whether the training is durable of extended periods of time.

The peak capacity for both fluid intelligence and crystallized intelligence is 26 years. This is followed by a slow decline.[76]

Group differences

Among the most controversial issues related to the study of intelligence is the observation that intelligence measures such as IQ scores vary between populations. While there is little scholarly debate about the existence of some of these differences, the reasons remain highly controversial both within academia and in the public sphere.

Health

Main article: Health and intelligence

People with a higher IQ have generally lower adult morbidity and mortality. Post-Traumatic Stress Disorder,[77] and schizophrenia[78][79] are less prevalent in higher IQ bands. People in the midsts of a major depressive episode have been shown to have a lower IQ than when without symptoms and lower cognitive ability than people without depression of equivalent verbal intelligence.[80][81]

A study of 11,282 individuals in Scotland who took intelligence tests at ages 7, 9 and 11 in the 1950s and 1960s, found an "inverse linear association" between childhood IQ scores and hospital admissions for injuries in adulthood. The association between childhood IQ and the risk of later injury remained even after accounting for factors such as the child's socioeconomic background.[82] Research in Scotland has also shown that a 15-point lower IQ meant people had a fifth less chance of living to 76, while those with a 30-point disadvantage were 37% less likely than those with a higher IQ to live that long.[83]

A decrease in IQ has also been shown as an early predictor of late-onset Alzheimer's Disease and other forms of dementia. In a 2004 study, Cervilla and colleagues showed that tests of cognitive ability provide useful predictive information up to a decade before the onset of dementia.[84] However, when diagnosing individuals with a higher level of cognitive ability, in this study those with IQs of 120 or more,[85] patients should not be diagnosed from the standard norm but from an adjusted high-IQ norm that measured changes against the individual's higher ability level. In 2000, Whalley and colleagues published a paper in the journal Neurology, which examined links between childhood mental ability and late-onset dementia. The study showed that mental ability scores were significantly lower in children who eventually developed late-onset dementia when compared with other children tested.[86]

Several factors can lead to significant cognitive impairment, particularly if they occur during pregnancy and childhood when the brain is growing and the blood-brain barrier is less effective. Such impairment may sometimes be permanent, or may sometimes be partially or wholly compensated for by later growth. Several harmful factors may also combine, possibly causing greater impairment.

Developed nations have implemented several health policies regarding nutrients and toxins known to influence cognitive function. These include laws requiring fortification of certain food products and laws establishing safe levels of pollutants (e.g. lead, mercury, and organochlorides). Comprehensive policy recommendations targeting reduction of cognitive impairment in children have been proposed.[87]

In terms of the effect of one's intelligence on health, in one British study, high childhood IQ was shown to correlate with one's chance of becoming a vegetarian in adulthood.[88] In another British study, high childhood IQ was shown to inversely correlate with the chances of smoking.[89]

Sex

Main article: Sex and intelligence

Men and women have statistically significant differences in average scores on tests of particular abilities.[90][91] Studies also illustrate consistently greater variance in the performance of men compared to that of women (i.e., men score more scattered throughout the spectrum of scores)[92].

IQ tests are weighted on these sex differences so there is no bias on average in favor of one sex, however the consistent difference in variance is not removed. Because the tests are defined so there is no average difference it is difficult to put any meaning on a statement that one sex has a higher intelligence than the other. However some people have made claims like this even using unbiased IQ tests. For instance, there are claims that men tend to outperform women on average by three to four IQ points based on tests of medical students where the greater variance of mens' IQ can be expected to contribute to the result,[93] or where a 'correction' is made for different maturation ages.[94]

Race

Main article: Race and intelligence

The 1996 Task Force investigation on Intelligence sponsored by the American Psychological Association concluded that there are significant variations in I.Q. across races.[31] The problem of determining the causes underlying this variation relates to the question of the contributions of "nature and nurture" to I.Q. Most scientists believe there is insufficient data to resolve the contributions of heredity and environment. One of the most notable researchers arguing for a strong hereditary basis is Arthur Jensen. In contrast, Richard Nisbett , the long-time director of the Culture and Cognition program at the University of Michigan, argues that intelligence is a matter of environment and biased standards that praise a certain type of “intelligence” (success on standardized tests) over another.

Positive correlations with IQ

While IQ is sometimes treated as an end unto itself, scholarly work on IQ focuses to a large extent on IQ's validity, that is, the degree to which IQ correlates with outcomes such as job performance, social pathologies, or academic achievement. Different IQ tests differ in their validity for various outcomes. Traditionally, correlation for IQ and outcomes is viewed as a means to also predict performance; however readers should distinguish between prediction in the hard sciences and the social sciences.

Other tests

One study found a correlation of .82 between g (general intelligence factor) and SAT scores;[95] another has found correlation of .81 between g and GCSE scores.[96]

Correlations between IQ scores (general cognitive ability) and achievement test scores are reported to be .81 by Deary and colleagues, with the percentage of variance accounted for by general cognitive ability ranging "from 58.6% in Mathematics and 48% in English to 18.1% in Art and Design".[96]

School performance

The American Psychological Association's report Intelligence: Knowns and Unknowns[31] states that wherever it has been studied, children with high scores on tests of intelligence tend to learn more of what is taught in school than their lower-scoring peers. The correlation between IQ scores and grades is about .50. However, this means that they explain only 25% of the variance. Achieving good grades depends on many factors other than IQ, such as "persistence, interest in school, and willingness to study" (p. 81).

Job performance

According to Frank Schmidt and John Hunter, "for hiring employees without previous experience in the job the most valid predictor of future performance is general mental ability."[97] The validity of IQ as a predictor of job performance is above zero for all work studied to date, but varies with the type of job and across different studies, ranging from 0.2 to 0.6.[98] While IQ is more strongly correlated with reasoning and less so with motor function [99] IQ-test scores predict performance ratings in all occupations[97]. That said, for highly qualified activities (research, management) low IQ scores are more likely to be a barrier to adequate performance, whereas for minimally-skilled activities, athletic strength (manual strength, speed, stamina, and coordination) are more likely to influence performance.[97]. It is largely mediated through the quicker acquisition of job-relevant knowledge that IQ predicts job performance.

In establishing a causal direction to the link between IQ and work performance, longitudinal studies by Watkins and others suggest that while IQ exerts a causal influence on future academic achievement, whereas academic achievement does not substantially influence future IQ scores.[100] Treena Eileen Rohde and Lee Anne Thompson write that general cognitive ability but not specific ability scores predict academic achievement, with the exception that processing speed and spatial ability predict performance on the SAT math beyond the effect of general cognitive ability.[101]

The American Psychological Association's report Intelligence: Knowns and Unknowns[31] states that other individual characteristics such as interpersonal skills, aspects of personality etc. are probably of equal or greater importance, but at this point we do not have equally reliable instruments to measure them[31]. More recently, others argue that since most professional tasks are now standardized or automated, and ranked IQ is a stable measurement over time with high correlation with many positive personal traits from the general population, it is the best tool to help determine hiring and job placement at any stage in a career, independently of experience, personality bias or any formal training one may acquire.[citation needed]

Income

Some researchers claim that "in economic terms it appears that the IQ score measures something with decreasing marginal value. It is important to have enough of it, but having lots and lots does not buy you that much."[102][103]

Other studies show that ability and performance for jobs are linearly related, such that at all IQ levels, an increase in IQ translates into a concomitant increase in performance.[104] Charles Murray, coauthor of The Bell Curve, found that IQ has a substantial effect on income independently of family background.[105]

Taking the above two principles together, very high IQ produces very high job performance, but no greater income than slightly high IQ. Studies also show that high IQ is related to higher net worth.[106]

The American Psychological Association's report Intelligence: Knowns and Unknowns[31] states that IQ scores account for about one-fourth of the social status variance and one-sixth of the income variance. Statistical controls for parental SES eliminate about a quarter of this predictive power. Psychometric intelligence appears as only one of a great many factors that influence social outcomes.[31]

One reason why some studies claim that IQ only accounts for a sixth of the variation in income is because many studies are based on young adults (many of whom have not yet completed their education). On pg 568 of The g Factor, Arthur Jensen claims that although the correlation between IQ and income averages a moderate 0.4 (one sixth or 16% of the variance), the relationship increases with age, and peaks at middle age when people have reached their maximum career potential. In the book, A Question of Intelligence, Daniel Seligman cites an IQ income correlation of 0.5 (25% of the variance).

A 2002 study[107] further examined the impact of non-IQ factors on income and concluded that an individual's location, inherited wealth, race, and schooling are more important as factors in determining income than IQ.

Other correlations with IQ

In addition, IQ and its correlation to health, violent crime, gross state product, and government effectiveness are the subject of a 2006 paper in the publication Intelligence. The paper breaks down IQ averages by U.S. states using the federal government's National Assessment of Educational Progress math and reading test scores as a source.[108]

There is a correlation of -0.19 between IQ scores and number of juvenile offences in a large Danish sample; with social class controlled, the correlation dropped to -0.17. Similarly, the correlations for most "negative outcome" variables are typically smaller than 0.20, which means that test scores are associated with less than 4% of their total variance. It is important to realize that the causal links between psychometric ability and social outcomes may be indirect. Children with poor scholastic performance may feel alienated. Consequently, they may be more likely to engage in delinquent behavior, compared to other children who do well.[31]

IQ is also negatively correlated with certain diseases.

Tambs et al.[109] found that occupational status, educational attainment, and IQ are individually heritable; and further found that "genetic variance influencing educational attainment ... contributed approximately one-fourth of the genetic variance for occupational status and nearly half the genetic variance for IQ". In a sample of U.S. siblings, Rowe et al.[110] report that the inequality in education and income was predominantly due to genes, with shared environmental factors playing a subordinate role.

Public policy

Template:Globalize/USA

Main article: Intelligence and public policy

In the United States, certain public policies and laws regarding military service,[111][112] education, public benefits,[113] crime,[114] and employment incorporate an individual's IQ or similar measurements into their decisions. However, in the case of Griggs v. Duke Power Co. in 1971, for the purpose of minimizing employment practices that disparately impacted racial minorities, the U.S. Supreme Court banned the use of IQ tests in employment, except in very rare cases[115]. Internationally, certain public policies, such as improving nutrition and prohibiting neurotoxins, have as one of their goals raising, or preventing a decline in intelligence.

Criticism and views

Binet

Alfred Binet, a French psychologist, did not believe that IQ test scales qualified to measure intelligence. He neither invented the term "intelligence quotient" nor supported its numerical expression.[citation needed] He stated:

The scale, properly speaking, does not permit the measure of intelligence, because intellectual qualities are not superposable, and therefore cannot be measured as linear surfaces are measured.

— Binet, 1905

Binet had designed the Binet-Simon intelligence scale in order to identify students who needed special help in coping with the school curriculum. He argued that with proper remedial education programs, most students regardless of background could catch up and perform quite well in school. He did not believe that intelligence was a measurable fixed entity.

Binet cautioned:

Some recent thinkers seem to have given their moral support to these deplorable verdicts by affirming that an individual's intelligence is a fixed quantity, a quantity that cannot be increased. We must protest and react against this brutal pessimism; we must try to demonstrate that it is founded on nothing.[116]

The Mismeasure of Man

Some scientists dispute psychometrics entirely. In The Mismeasure of Man, Harvard professor and paleontologist Stephen Jay Gould argued that intelligence tests were based on faulty assumptions and showed their history of being used as the basis for scientific racism. He criticized

…the abstraction of intelligence as a single entity, its location within the brain, its quantification as one number for each individual, and the use of these numbers to rank people in a single series of worthiness, invariably to find that oppressed and disadvantaged groups—races, classes, or sexes—are innately inferior and deserve their status.(pp. 24–25)

He spends much of the book criticizing the concept of IQ, including a historical discussion of how the IQ tests were created and a technical discussion of why g is simply a mathematical artifact. Later editions of the book included criticism of The Bell Curve.

Relation between IQ and intelligence

See also: Intelligence

According to Dr. C. George Boeree of Shippensburg University, intelligence is a person's capacity to (1) acquire knowledge (i.e. learn and understand), (2) apply knowledge (solve problems), and (3) engage in abstract reasoning. It is the power of one's intellect, and as such is clearly a very important aspect of one's overall well-being. Psychologists have attempted to measure it for well over a century.

Several other ways of measuring intelligence have been proposed. Daniel Schacter, Daniel Gilbert, and others have moved beyond general intelligence and IQ as the sole means to describe intelligence.[117]

Test bias

See also: Stereotype threat

The American Psychological Association's report Intelligence: Knowns and Unknowns[31] states that IQ tests as predictors of social achievement are not biased against people of African descent since they predict future performance, such as school achievement, similarly to the way they predict future performance for European descent.[31]

However, IQ tests may well be biased when used in other situations. A 2005 study stated that "differential validity in prediction suggests that the WAIS-R test may contain cultural influences that reduce the validity of the WAIS-R as a measure of cognitive ability for Mexican American students,"[118] indicating a weaker positive correlation relative to sampled white students. Other recent studies have questioned the culture-fairness of IQ tests when used in South Africa.[119][120] Standard intelligence tests, such as the Stanford-Binet, are often inappropriate for children with autism and dyslexia; the alternative of using developmental or adaptive skills measures are relatively poor measures of intelligence in autistic children, and have resulted in incorrect claims that a majority of children with autism are mentally retarded.[121]

Outdated methodology

A 2006 paper argues that mainstream contemporary test analysis does not reflect substantial recent developments in the field and "bears an uncanny resemblance to the psychometric state of the art as it existed in the 1950s."[122] It also claims that some of the most influential recent studies on group differences in intelligence, in order to show that the tests are unbiased, use outdated methodology.

Some argue[who?] that IQ scores are used as an excuse for not trying to reduce poverty or otherwise improve living standards for all.[citation needed] Claimed low intelligence has historically been used to justify the feudal system and unequal treatment of women (see sex and intelligence).[citation needed] In contrast, others claim that the refusal of "high-IQ elites" to take IQ seriously as a cause of inequality is itself immoral.[123]

The view of the American Psychological Association

In response to the controversy surrounding The Bell Curve, the American Psychological Association's Board of Scientific Affairs established a task force in 1995 to write a consensus statement on the state of intelligence research which could be used by all sides as a basis for discussion. The full text of the report is available through several websites.[31][124]

In this paper the representatives of the association regret that IQ-related works are frequently written with a view to their political consequences: "research findings were often assessed not so much on their merits or their scientific standing as on their supposed political implications".

The task force concluded that IQ scores do have high predictive validity for individual differences in school achievement. They confirm the predictive validity of IQ for adult occupational status, even when variables such as education and family background have been statistically controlled. They found that individual differences in intelligence are substantially influenced by genetics and that both genes and environment, in complex interplay, are essential to the development of intellectual competence.

They state there is little evidence to show that childhood diet influences intelligence except in cases of severe malnutrition. The task force agrees that large differences do exist between the average IQ scores of blacks and whites, and that these differences cannot be attributed to biases in test construction. The task force suggests that explanations based on social status and cultural differences are possible, and that environmental factors have raised mean test scores in many populations. Regarding genetic causes, they noted that there is not much direct evidence on this point, but what little there is fails to support the genetic hypothesis.

The APA journal that published the statement, American Psychologist, subsequently published eleven critical responses in January 1997, several of them arguing that the report failed to examine adequately the evidence for partly-genetic explanations.

High IQ societies

Main article: High IQ society

There are social organizations, some multi-national, which limit membership to people who have accredited test scores as high as (or higher than) the 98th percentile on the IQ Bell curve (for example, Mensa International, perhaps the most well known.) There are several other, more exclusive groups, requiring a score above the 98th percentile.

Many websites and magazines use the term IQ to refer to technical or popular knowledge in a variety of subjects not related to intelligence, including sex,[125] poker,[126] and American football,[127] among a wide variety of other topics. These tests are generally not standardized and do not fit within the normal definition of intelligence. Intelligence tests such as the Wechsler Adult Intelligence Scale, Wechsler Intelligence Scale for Children, Stanford-Binet, Woodcock-Johnson III Tests of Cognitive Abilities, or the Kaufman Assessment Battery for Children-II, to name some of the best constructed, are not merely placing a test taker's score within the norm, as presumably are the thousands of alleged "IQ Tests" found on the internet, but they are also testing factors (e.g., fluid and crystallized intelligence, working memory, and the like) that were previously found to represent pure measures of intelligence using factor analysis. This claim may not be made for the hundreds of online tests marketing themselves as IQ Tests, a distinction that may be unfortunately lost upon the public taking them.

Reference charts

Main article: IQ reference chart

IQ reference charts are tables suggested by psychologists to divide intelligence ranges in various categories.

See also

References

Notes

  1. ^ Indiana University (2007). "William Stern". Indiana University. Retrieved July 15, 2009. {{cite web}}: Unknown parameter |dateformat= ignored (help)
  2. ^ i.e. as a quotient of "mental age" and "chronological age."
  3. ^ Cervilla; et al. (2004). "Premorbid cognitive testing predicts the onset of dementia and Alzheimer's disease better than and independently of APOE genotype". Psychiatry 2004;75:1100-1106. Retrieved August 6, 2006. {{cite web}}: Explicit use of et al. in: |author= (help); Unknown parameter |dateformat= ignored (help)
  4. ^ Intelligence: Knowns and Unknowns (Report of a Task Force established by the Board of Scientific Affairs of the American Psychological Association - Released August 7, 1995 - A slightly edited version was published in the American Psychologist, Feb 1996. Official Journal of the APA)
  5. ^ a b c Devlin B, Daniels M, Roeder K (1997). "The heritability of IQ". Nature. 388 (6641): 468–71. doi:10.1038/41319. PMID 9242404.{{cite journal}}: CS1 maint: multiple names: authors list (link)
    The same study suggests that the heritable component of IQ becomes more significant with age.
  6. ^ Gillham, N. W. (2001). Sir Francis Galton and the birth of eugenics. Annual Review of Genetics, 35, 83-101.
  7. ^ Galton, F. (1865). Hereditary talent and character. Classics in the history of psychology. Retrieved April 4, 2007
  8. ^ Binet, A. (1905). New methods for the diagnosis of the intellectual level of subnormals. Classics in the history of psychology. Retrieved April 4, 2007
  9. ^ Wallin, J. E. W. (1911). The new clinical psychology and the psycho-clinicist. Journal of Educational Psychology, 2(4), 191-210.
  10. ^ Spearman, C. (1904). “General intelligence,” objectively determined and measured. American Journal of Psychology, 15(2), 201-293.
  11. ^ a b Mayrhauser, R. T. V. (1992). The mental testing community and validity: A prehistory. American Psychologist, 47(2), 244-253.
  12. ^ Richardson, T. E. (2003). Howard Andrew Knox and the origins of performance testing on Ellis Island, 1212-1216. History of Psychology, 6(2), 143-170.
  13. ^ Terman, L. M., Lyman, G., Ordahl, G., Ordahl, L., Galbreath, N., and Talbert, W. (1915). The Stanford revision of the Binet-Simon scale and some results from its application to 1000 non-selected children. The Journal of Educational Psychology, 6(9), 551-562.
  14. ^ Carmichael, L. (1957). Robert Mearns Yerkes. The Psychological Review, 64(1), 1-7.
  15. ^ a b c Yerkes, R. (1919). Report of the psychology committee of the national research council. The Psychological Review, 26(2), 83-149.
  16. ^ Driskell, J. E., & Olmstead, B. (1989). Psychology and the military: Research applications and trends. American Psychologist, 44(1), 43-54.
  17. ^ a b c d e Kevles, D. J. (1968). Testing the army’s intelligence: Psychologists and the military in World War I. The Journal of American History, 55(3), 565-581.
  18. ^ a b Keene, J. D. (1994). Intelligence and morale in the army of a democracy: The genesis of military psychology during the First World War. Military Psychology, 6(4), 235-253.
  19. ^ Kevles, D. J. (1968). Testing the army’s intelligence: Psychologists and the military in World War I. The Journal of American History, 55(3), 565-581.
  20. ^ Kennedy, C. H., & McNeil, J. A. (2006). A history of military psychology. In C. H. Kennedy, E. A. Zillmer (Eds.), Military Psychology: Clinical and Operational Applications (pp.1-17). New York: Guilford Publications.
  21. ^ Katzell, R. A., & Austin, J. T. (1992). From then to now: the development of industrial-organizational psychology in the United States. Journal of Applied Psychology. 77(6), 803-835.
  22. ^ Goddard, H. H. (1921). The sub-normal mind versus the abnormal. Journal of Abnormal Psychology, 16(1), 47-54.
  23. ^ a b Alper, T. G., & Boring, E. G. (1944). Intelligence-test scores of northern and southern white and negro recruits in 1918. Journal of Abnormal & Social Psychology, 39(4), 471-474.
  24. ^ Thurstone, L. L. (1934). The vectors of mind. Psychological Review, 41, 1-32.
  25. ^ Terman, L. M. (1924). The mental test as a psychological method. The Psychological Review, 31(2), 93-117.
  26. ^ Garrett, H. E. (1945). A note on the intelligence scores of negroes and whites in 1918. Journal of Abnormal & Social Psychology, 40(3), 344-346.
  27. ^ Rembis, M. A. (2004). “I ain’t been reading while on parole”: Experts, mental tests, and eugenic commitment law in Illinois, 1890-1940. History of Psychology, 7(3), 225-247.
  28. ^ See: quantile, percentile, percentile rank.
  29. ^ a b c Plomin et al. (2001, 2003)
  30. ^ Plomin R, Pedersen NL, Lichtenstein P, McClearn GE (1994). "Variability and stability in cognitive abilities are largely genetic later in life". Behavior Genetics. 24 (3): 207–15. doi:10.1007/BF01067188. PMID 7945151. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  31. ^ a b c d e f g h i j k l m n o Neisser; et al. (August 7, 1995). "Intelligence: Knowns and Unknowns". Board of Scientific Affairs of the American Psychological Association. Retrieved August 6, 2006. {{cite web}}: Explicit use of et al. in: |author= (help); Unknown parameter |dateformat= ignored (help)
  32. ^ Bouchard TJ, Lykken DT, McGue M, Segal NL, Tellegen A (1990). "Sources of human psychological differences: the Minnesota Study of Twins Reared Apart". Science. 250 (4978): 223–228. doi:10.1126/science.2218526. PMID 2218526.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  33. ^ "Commentary: The analysis of variance and the social complexities of genetic causation" by Jeremy Freese (2006) International Journal of Epidemiology 35(3):534-536 doi:10.1093/ije/dyl065
  34. ^ "Commentary: Heritability estimates—long past their sell-by date" by Steven P R Rose (2006) Int. J. Epidemiol. 35: 525-527; doi:10.1093/ije/dyl064
  35. ^ "Commentary: The analysis of variance is an analysis of causes (of a very circumscribed kind)" (2006) Int. J. Epidemiol. 35: 527-531; doi:10.1093/ije/dyl063
  36. ^ "Commentary: The attainability of causal knowledge of genetic effects in complex human traits" (2006) Int. J. Epidemiol. 35: 531-534; doi:10.1093/ije/dyl066
  37. ^ "Commentary: Statistical analysis or biological analysis as tools for understanding biological causes" (2006) Int. J. Epidemiol. '35:' 536-537; doi:10.1093/ije/dyl070
  38. ^ "The analysis of variance and the analysis of causes" (2006) Int. J. Epidemiol. 35: 520-525; doi:10.1093/ije/dyl062
  39. ^ a b McGue, M.; et al. (2007). "The Environments of Adopted and Non-adopted Youth: Evidence on Range Restriction From the Sibling Interaction and Behavior Study (SIBS)". Behavior Genetics. 37 (3): 449. doi:10.1007/s10519-007-9142-7. PMID 17279339. {{cite journal}}: Explicit use of et al. in: |author= (help)
  40. ^ Turkheimer E, Haley A, Waldron M, D'Onofrio B, Gottesman II (2003). "Socioeconomic status modifies heritability of IQ in young children". Psychological Science. 14 (6): 623–8. doi:10.1046/j.0956-7976.2003.psci_1475.x. PMID 14629696. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  41. ^ a b Bouchard, TJ (2004). "Genetic influence on human psychological traits - A survey". Current Directions in Psychological Science. 13 (4): 148–151. doi:10.1111/j.0963-7214.2004.00295.x.
  42. ^ See: Ethnic Differences in Children's Intelligence Test Scores: Role of Economic Deprivation, Home Environment, and Maternal Characteristics
  43. ^ Qian M, Wang D, Watkins WE; et al. (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. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  44. ^ Gene governs IQ boost from breastfeeding
  45. ^ Caspi A, Williams B, Kim-Cohen J; et al. (2007). "Moderation of breastfeeding effects on the IQ by genetic variation in fatty acid metabolism". Proceedings of the National Academy of Sciences. 104 (47): 18860. doi:10.1073/pnas.0704292104. PMC 2141867. PMID 17984066. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  46. ^ Schellenberg, E. G. (2004). "Music lessons enhance IQ." Psychol Sci 15(8): 511-4.
  47. ^ (Klingberg et al., 2002)
  48. ^ Jaeggi SM, Buschkuehl M, Jonides J, Perrig WJ (2008). "Improving fluid intelligence with training on working memory". Proc. Natl. Acad. Sci. U.S.A. 105 (19): 6829–6833. doi:10.1073/pnas.0801268105. PMC 2383929. PMID 18443283.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  49. ^ Harris (1998)
  50. ^ Bouchard TJ (1998). "Genetic and environmental influences on adult intelligence and special mental abilities". Hum. Biol. 70 (2): 257–279. PMID 9549239.
  51. ^ a b Stoolmiller M (1999). "Implications of the restricted range of family environments for estimates of heritability and nonshared environment in behavior-genetic adoption studies". Psychol Bull. 125 (4): 392–409. doi:10.1037/0033-2909.125.4.392. PMID 10414224.
  52. ^ Eric Turkheimer and colleagues (2003)
  53. ^ Socioeconomic status modifies heritability of iq in young children Eric Turkheimer, Andreana Haley, Mary Waldron, Brian D'Onofrio, Irving I. Gottesman. Psychological Science 14 (6), 623–628. 2003
  54. ^ New Thinking on Children, Poverty & IQ November 10, 2003 Connect for Kids
  55. ^ Bouchard, T.J.; McGue, M. (2003). "Genetic and environmental influences on human psychological differences". Journal of Neurobiology. 54 (1): 4. doi:10.1002/neu.10160. PMID 12486697.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  56. ^ a b Dickens and Flynn (2001) Cite error: The named reference "DickensFlynn2001" was defined multiple times with different content (see the help page).
  57. ^ William T. Dickens and James R. Flynn, "The IQ Paradox: Still Resolved," Psychological Review 109, no. 4 (2002).
  58. ^ Richard Haier (July 19, 2004). "Human Intelligence Determined by Volume and Location of Gray...dick Matter Tissue in Brain". Brain Research Institute, UC Irvine College of Medicine. Retrieved August 6, 2006. {{cite web}}: Unknown parameter |dateformat= ignored (help)
  59. ^ Jeremy R. Gray, Psychology Department, Yale University, and Paul M. Thompson, Laboratory of Nero Imaging, Department of Neurology, University of California, Los Angeles School of Medicine (2004). "Neurobiology of Intelligence: Science and Ethics" (PDF). Nature Publishing Group, Volume 5. Retrieved 2006-08-06.{{cite web}}: CS1 maint: multiple names: authors list (link)
  60. ^ Nicholas Wade (2006). "Scans Show Different Growth for Intelligent Brains". Brain Research Institute, UCLA.. Retrieved 2006-08-06.
  61. ^ Gosso MF, van Belzen M, de Geus EJ; et al. (2006). "Association between the CHRM2 gene and intelligence in a sample of 304 Dutch families". Genes, Brain and Behavior. 5 (8): 577–584. doi:10.1111/j.1601-183X.2006.00211.x. PMID 17081262. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  62. ^ Dick DM, Aliev F, Kramer J; et al. (2007). "Association of CHRM2 with IQ: converging evidence for a gene influencing intelligence". Behav. Genet. 37 (2): 265–272. doi:10.1007/s10519-006-9131-2. PMID 17160701. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  63. ^ Bava S, Ballantyne AO, Trauner DA (2005). "Disparity of verbal and performance IQ following early bilateral brain damage". Cogn Behav Neurol. 18 (3): 163–170. doi:10.1097/01.wnn.0000178228.61938.3e. PMID 16175020.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  64. ^ Reed, T.E., & Jensen, A.R. 1993. Cranial capacity: new Caucasian data and comments on Rushton's claimed Mongoloid-Caucasoid brain-size differences. Intelligence, 17, 423-431
  65. ^ McDaniel, M.A. (2005) Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence, 33, 337-346. PDF
  66. ^ Garlick D (2002). "Understanding the nature of the general factor of intelligence: the role of individual differences in neural plasticity as an explanatory mechanism". Psychol Rev. 109 (1): 116–136. doi:10.1037/0033-295X.109.1.116. PMID 11863034.
  67. ^ Shaw P, Greenstein D, Lerch J; et al. (2006). "Intellectual ability and cortical development in children and adolescents". Nature. 440 (7084): 676–679. doi:10.1038/nature04513. PMID 16572172. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  68. ^ (Flynn, 1999)
  69. ^ Mingroni, Michael A. (2007). "Resolving the IQ Paradox: Heterosis as a Cause of the Flynn Effect and Other Trends": 806–829. {{cite journal}}: Cite journal requires |journal= (help)
  70. ^ British teenagers have lower IQs than their counterparts did 30 years ago. The Telegraph. Feb 7, 2009.
  71. ^ Teasdale, Thomas W., and David R. Owen. (2005). "A long-term rise and recent decline in intelligence test performance: The Flynn Effect in reverse." Personality and Individual Differences. 39(4):837-843.
  72. ^ "The end of the Flynn Effect. A study of secular trends in mean intelligence scores of Norwegian conscripts during half a century". Retrieved 2006-08-06.
  73. ^ Okanoya K, Tokimoto N, Kumazawa N, Hihara S, Iriki A (2008). "Tool-use training in a species of rodent: the emergence of an optimal motor strategy and functional understanding". PLoS ONE. 3 (3): e1860. doi:10.1371/journal.pone.0001860. PMC 2268009. PMID 18365015.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: unflagged free DOI (link)
  74. ^ Jaeggi SM, Buschkuehl M, Jonides J, Perrig WJ (2008). "Improving fluid intelligence with training on working memory". Proc. Natl. Acad. Sci. U.S.A. 105 (19): 6829–6833. doi:10.1073/pnas.0801268105. PMC 2383929. PMID 18443283.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  75. ^ R.J. Sternberg (2008). "Increasing fluid intelligence is possible after all (Commentary)". Proc. Natl. Acad. Sci. U.S.A. 105 (19): 6791–6792. doi:10.1073/pnas.0803396105. PMC 2383939. PMID 18474863.
  76. ^ McArdle J J, Ferrer-Caja E, Hamagami F, Woodcock RW. (2002). Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span. Dev. Psychol. 38: 115–142. PMID 11806695 Based on a sample of 1200 US individuals aged 2–95 years representative of both genders of major ethnic groups and all education levels
  77. ^ Breslau N, Lucia VC, Alvarado GF (2006). "Intelligence and other predisposing factors in exposure to trauma and posttraumatic stress disorder: a follow-up study at age 17 years". Arch. Gen. Psychiatry. 63 (11): 1238–1245. doi:10.1001/archpsyc.63.11.1238. PMID 17088504.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  78. ^ Zinkstok JR, de Wilde O, van Amelsvoort TA, Tanck MW, Baas F, Linszen DH (2007). "Association between the DTNBP1 gene and intelligence: a case-control study in young patients with schizophrenia and related disorders and unaffected siblings". Behav Brain Funct. 3: 19. doi:10.1186/1744-9081-3-19. PMC 1864987. PMID 17445278.{{cite journal}}: CS1 maint: multiple names: authors list (link) CS1 maint: unflagged free DOI (link)
  79. ^ Woodberry KA, Giuliano AJ, Seidman LJ (2008). "Premorbid IQ in schizophrenia: a meta-analytic review". Am J Psychiatry. 165 (5): 579–587. doi:10.1176/appi.ajp.2008.07081242. PMID 18413704.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  80. ^ Sackeim HA, Freeman J, McElhiney M, Coleman E, Prudic J, Devanand DP (1992). "Effects of major depression on estimates of intelligence". J Clin Exp Neuropsychol. 14 (2): 268–288. doi:10.1080/01688639208402828. PMID 1572949.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  81. ^ Mandelli L, Serretti A, Colombo C; et al. (2006). "Improvement of cognitive functioning in mood disorder patients with depressive symptomatic recovery during treatment: an exploratory analysis". Psychiatry Clin. Neurosci. 60 (5): 598–604. doi:10.1111/j.1440-1819.2006.01564.x. PMID 16958944. {{cite journal}}: Explicit use of et al. in: |author= (help)CS1 maint: multiple names: authors list (link)
  82. ^ Debbie A. Lawlor, University of Bristol, Heather Clark, University of Aberdeen, David A. Leon, London School of Hygiene & Tropical Medicine (2006). "Associations Between Childhood Intelligence and Hospital Admissions for Unintentional Injuries in Adulthood: The Aberdeen Children of the 1950s Cohort Study". American Journal of Public Health, December 2006. Retrieved January 10, 2007. {{cite web}}: Unknown parameter |dateformat= ignored (help)CS1 maint: multiple names: authors list (link)
  83. ^ Whalley LJ, Deary IJ (2001). "Longitudinal cohort study of childhood IQ and survival up to age 76". BMJ. 322 (7290): 819. doi:10.1136/bmj.322.7290.819. PMC 30556. PMID 11290633.
  84. ^ Cervilla J, Prince M, Joels S, Lovestone S, Mann A (2004). "Premorbid cognitive testing predicts the onset of dementia and Alzheimer's disease better than and independently of APOE genotype". Journal of Neurology, Neurosurgery, and Psychiatry. 75 (8): 1100–6. doi:10.1136/jnnp.2003.028076. PMC 1739178. PMID 15258208. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  85. ^ Dorene Rentz, Brigham and Women's Hospital's Department of Neurology and Harvard Medical School. "More Sensitive Test Norms Better Predict Who Might Develop Alzheimer's Disease". Neuropsychology, published by the American Psychological Association. Retrieved 2006-08-06.
  86. ^ Whalley LJ, Starr JM, Athawes R, Hunter D, Pattie A, Deary IJ (2000). "Childhood mental ability and dementia". Neurology. 55 (10): 1455–1459. PMID 11094097.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  87. ^ Olness K (2003). "Effects on brain development leading to cognitive impairment: a worldwide epidemic". J Dev Behav Pediatr. 24 (2): 120–130. PMID 12692458.
  88. ^ Gale CR, Deary IJ, Schoon I, Batty GD (2007). "IQ in childhood and vegetarianism in adulthood: 1970 British cohort study". BMJ. 334 (7587): 245. doi:10.1136/bmj.39030.675069.55. PMC 1790759. PMID 17175567. {{cite journal}}: Unknown parameter |month= ignored (help)CS1 maint: multiple names: authors list (link)
  89. ^ Taylor, MD; Hart, Carole L.; Smith, George Davey; Starr, John M.; Hole, David J.; Whalley, Lawrence J.; Wilson, Valerie; Deary, Ian J. (2005). "Childhood IQ and social factors on smoking behaviour, lung function and smoking-related outcomes in adulthood: linking the Scottish Mental Survey 1932 and the Midspan studies". British Journal of Health Psychology. 10 (3): 399–401. doi:10.1348/135910705X25075. PMID 16238855.
  90. ^ Douglas N. Jackson and J. Philippe Rushton, Males have greater g: Sex differences in general mental ability from 100,000 17- to 18-year-olds on the Scholastic Assessment Test, Intelligence, Volume 34, Issue 5, September-October 2006, Pages 479-486.
  91. ^ Lynn, R., & Irwing, P. (2004). Sex differences on the Progressive Matrices: A meta-analysis. Intelligence, 32, 481−498
  92. ^ Deary, I.J., Irwing, P., Der, G., & Bates, T.C. (2007). "Brother–sister differences in the g factor in intelligence: Analysis of full, opposite-sex siblings from the NLSY1979." Intelligence, 35(5): 451-456.
  93. ^ Stumpf, H. and Jackson, D. N. (1994). "Gender-related differences in cognitive abilities: evidence from a medical school admissions program". Personality and Individual Differences. 17: 335–344. doi:10.1016/0191-8869(94)90281-X.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  94. ^ Publications
  95. ^ Frey MC, Detterman DK (2004). "Scholastic Assessment or g? The relationship between the Scholastic Assessment Test and general cognitive ability". Psychological Science. 15 (6): 373–8. doi:10.1111/j.0956-7976.2004.00687.x. PMID 15147489. {{cite journal}}: Unknown parameter |month= ignored (help)
  96. ^ a b Deary, I; Strand, S; Smith, P; Fernandes, C (2007). "Intelligence and educational achievement". Intelligence. 35: 13. doi:10.1016/j.intell.2006.02.001.
  97. ^ a b c Schmidt, Frank L.; Hunter, John E. (1998). "The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings". Psychological Bulletin. 124: 262. doi:10.1037/0033-2909.124.2.262.
  98. ^ Hunter, J. E. and Hunter, R. F. (1984). Validity and utility of alternative predictors of job performance. Psychological Bulletin, 96, 72–98.
  99. ^ Warner MH, Ernst J, Townes BD, Peel J, Preston M (1987). "Relationships between IQ and neuropsychological measures in neuropsychiatric populations: within-laboratory and cross-cultural replications using WAIS and WAIS-R". J Clin Exp Neuropsychol. 9 (5): 545–562. doi:10.1080/01688638708410768. PMID 3667899.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  100. ^ Marley W. Watkins, Pui-Wa Lei and Gary L. Canivez. (2007). Psychometric intelligence and achievement: A cross-lagged panel analysis, Intelligence, 35, 59-68.
  101. ^ Treena Eileen Rohde and Lee Anne Thompson. (2007). Predicting academic achievement with cognitive ability, Intelligence, 35, 83-92.
  102. ^ Detterman and Daniel, 1989.
  103. ^ Earl Hunt. "The Role of Intelligence in Modern Society". American Scientist. pp. 4 (Nonlinearities in Intelligence). Retrieved August 6, 2006. {{cite web}}: Unknown parameter |dateformat= ignored (help); Unknown parameter |datemonth= ignored (help); Unknown parameter |dateyear= ignored (help)
  104. ^ Coward, W.M. and Sackett, P.R. (1990). Linearity of ability-performance relationships: A reconfirmation. Journal of Applied Psychology, 75:297–300.
  105. ^ Murray, Charles (1998). Income Inequality and IQ, AEI Press PDF
  106. ^ Henderson, Mark (April 25, 2007). "Brains dont make you rich IQ study finds". The Times. London. Retrieved May 5, 2010.
  107. ^ The Inheritance of Inequality Bowles, Samuel; Gintis, Herbert. The Journal of Economic Perspectives. Volume 16, Number 3, 1 August 2002, pp. 3-30(28)
  108. ^ Michael A. McDaniel, Virginia Commonwealth University (accepted for publication August 2006). "Estimating state IQ: Measurement challenges and preliminary correlates" (PDF). Intelligence. {{cite web}}: Check date values in: |date= (help)
  109. ^ Tambs K, Sundet JM, Magnus P, Berg K. "Genetic and environmental contributions to the covariance between occupational status, educational attainment, and IQ: a study of twins." Behav Genet. 1989 Mar;19(2):209–22. PMID 2719624.
  110. ^ Rowe, D. C., W. J. Vesterdal, and J. L. Rodgers, "The Bell Curve Revisited: How Genes and Shared Environment Mediate IQ-SES Associations," University of Arizona, 1997
  111. ^ "RAND_TR193.pdf" (PDF).
  112. ^ "MR818.ch2.pdf" (PDF).
  113. ^ "Social Security Administration".
  114. ^ Steve Sailer (June 24, 2002). "IQ Defenders Feel Vindicated by Supreme Court". UPI. Retrieved 2006-08-06.
  115. ^ Nicholas Lemann. The IQ Meritocracy. Time 100 link
  116. ^ Rawat, R. The Return of Determinism?
  117. ^ The Waning of I.Q. by David Brooks, The New York Times
  118. ^ Culture-Fair Cognitive Ability Assessment Steven P. Verney Assessment, Vol. 12, No. 3, 303-319 (2005)
  119. ^ Shuttleworth-Edwards AB, Kemp RD, Rust AL, Muirhead JG, Hartman NP, Radloff SE (2004). "Cross-cultural effects on IQ test performance: a review and preliminary normative indications on WAIS-III test performance". J Clin Exp Neuropsychol. 26 (7): 903–920. doi:10.1080/13803390490510824. PMID 15742541.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  120. ^ Case for Non-Biased Intelligence Testing Against Black Africans Has Not Been Made: A Comment on Rushton, Skuy, and Bons (2004) 1*, Leah K. Hamilton1, Betty R. Onyura1 and Andrew S. Winston International Journal of Selection and Assessment Volume 14 Issue 3 Page 278 - September 2006
  121. ^ Edelson, MG (2006). "Are the majority of children with autism mentally retarded? a systematic evaluation of the data". Focus Autism Other Dev Disabl. 21 (2): 66–83. doi:10.1177/10883576060210020301. Retrieved 2007-04-15.
  122. ^ The attack of the psychometricians. Denny Borsboom. Psychometrika Vol. 71, No. 3, 425–440. September 2006.
  123. ^ Steve Sailer (2000). "How to Help the Left Half of the Bell Curve". VDARE.com. Retrieved 2006-08-06.
  124. ^ [1]
  125. ^ "Planned Parenthood Sex IQ". Retrieved 2008-08-10.
  126. ^ "NL Holdem Poker IQ Test". Retrieved 2008-08-10.
  127. ^ "American Football IQ". Retrieved 2008-08-10.

Bibliography

Wikiversity has learning resources about Intelligence quotient
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