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Past studies have reported divergent results regarding the effect of mobile devices on general mental ability (GMA) test scores. We investigate selection bias as an explanation for this inconsistency in GMA score differences between applicants using mobile or nonmobile devices reported in observational and lab studies. We initially found that mobile test-takers scored 0.58 SD lower than nonmobile test-takers in an operational sample of 76,948 applicants across over 400 occupations. However, we found that mobile device use was more prevalent among applicants with lower educational attainment and within jobs of lower complexity. These factors, among others, could potentially confound the observed GMA score differences between devices. The device effect shrank to d = 0.25 after controlling for selection bias in device choice using propensity score weighing. As an alternative, we also used poststratification to control for selection bias and this yielded an even weaker device effect (d = 0.10). Our results indicate that the large device effects obtained in prior operational studies are possibly inflated by selection bias. Therefore, it is important to control for these demographic and occupational differences between self-selected device groups when analyzing operational data for research purposes. Propensity score weighing and poststratification appear useful for reducing the impact of selection bias in real-world, observational data. We also strongly recommend the use of random assignment to prevent selection bias when evaluating device effects for new or adapted GMA or similar ability tests. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
An intelligence quotient (IQ) is a total score derived from a set of standardised tests or subtests designed to assess human intelligence.[1] The abbreviation "IQ" was coined by the psychologist William Stern for the German term Intelligenzquotient, his term for a scoring method for intelligence tests at University of Breslau he advocated in a 1912 book.[2]
Historically, IQ was a score obtained by dividing a person's mental age score, obtained by administering an intelligence test, by the person's chronological age, both expressed in terms of years and months. The resulting fraction (quotient) was multiplied by 100 to obtain the IQ score.[3] For modern IQ tests, the raw score is transformed to a normal distribution with mean 100 and standard deviation 15.[4] This results in approximately two-thirds of the population scoring between IQ 85 and IQ 115 and about 2 percent each above 130 and below 70.[5][6]
Scores from intelligence tests are estimates of intelligence. Unlike, for example, distance and mass, a concrete measure of intelligence cannot be achieved given the abstract nature of the concept of "intelligence".[7] IQ scores have been shown to be associated with such factors as nutrition,[8][9][10] parental socioeconomic status,[11][12] morbidity and mortality,[13][14] parental social status,[15] and perinatal environment.[16] While the heritability of IQ has been investigated for nearly a century, there is still debate about the significance of heritability estimates[17][18] and the mechanisms of inheritance.[19]
IQ scores are used for educational placement, assessment of intellectual ability, and evaluating job applicants. In research contexts, they have been studied as predictors of job performance[20] and income.[21] They are also used to study distributions of psychometric intelligence in populations and the correlations between it and other variables. Raw scores on IQ tests for many populations have been rising at an average rate that scales to three IQ points per decade since the early 20th century, a phenomenon called the Flynn effect. Investigation of different patterns of increases in subtest scores can also inform current research on human intelligence.
Historically, even before IQ tests were devised, there were attempts to classify people into intelligence categories by observing their behavior in daily life.[22][23] Those other forms of behavioral observation are still important for validating classifications based primarily on IQ test scores. Both intelligence classification by observation of behavior outside the testing room and classification by IQ testing depend on the definition of "intelligence" used in a particular case and on the reliability and error of estimation in the classification procedure.
The many different kinds of IQ tests include a wide variety of item content. Some test items are visual, while many are verbal. Test items vary from being based on abstract-reasoning problems to concentrating on arithmetic, vocabulary, or general knowledge.
The British psychologist Charles Spearman in 1904 made the first formal factor analysis of correlations between the tests. He observed that children's school grades across seemingly unrelated school subjects were positively correlated, and reasoned that these correlations reflected the influence of an underlying general mental ability that entered into performance on all kinds of mental tests. He suggested that all mental performance could be conceptualized in terms of a single general ability factor and a large number of narrow task-specific ability factors. Spearman named it g for "general factor" and labeled the specific factors or abilities for specific tasks s.[35] In any collection of test items that make up an IQ test, the score that best measures g is the composite score that has the highest correlations with all the item scores. Typically, the "g-loaded" composite score of an IQ test battery appears to involve a common strength in abstract reasoning across the test's item content.[citation needed]
...the tests did have a strong impact in some areas, particularly in screening men for officer training. At the start of the war, the army and national guard maintained nine thousand officers. By the end, two hundred thousand officers presided, and two- thirds of them had started their careers in training camps where the tests were applied. In some camps, no man scoring below C could be considered for officer training.[36]
In total 1.75 million men were tested, making the results the first mass-produced written tests of intelligence, though considered dubious and non-usable, for reasons including high variability of test implementation throughout different camps and questions testing for familiarity with American culture rather than intelligence.[36] After the war, positive publicity promoted by army psychologists helped to make psychology a respected field.[37] Subsequently, there was an increase in jobs and funding in psychology in the United States.[38] Group intelligence tests were developed and became widely used in schools and industry.[39]
The results of these tests, which at the time reaffirmed contemporary racism and nationalism, are considered controversial and dubious, having rested on certain contested assumptions: that intelligence was heritable, innate, and could be relegated to a single number, the tests were enacted systematically, and test questions actually tested for innate intelligence rather than subsuming environmental factors.[36] The tests also allowed for the bolstering of jingoist narratives in the context of increased immigration, which may have influenced the passing of the Immigration Restriction Act of 1924.[36]
L.L. Thurstone argued for a model of intelligence that included seven unrelated factors (verbal comprehension, word fluency, number facility, spatial visualization, associative memory, perceptual speed, reasoning, and induction). While not widely used, Thurstone's model influenced later theories.[30]
Eugenics, a set of beliefs and practices aimed at improving the genetic quality of the human population by excluding people and groups judged to be inferior and promoting those judged to be superior,[40][41][42] played a significant role in the history and culture of the United States during the Progressive Era, from the late 19th century until US involvement in World War II.[43][44]
The American eugenics movement was rooted in the biological determinist ideas of the British Scientist Sir Francis Galton. In 1883, Galton first used the word eugenics to describe the biological improvement of human genes and the concept of being "well-born".[45][46] He believed that differences in a person's ability were acquired primarily through genetics and that eugenics could be implemented through selective breeding in order for the human race to improve in its overall quality, therefore allowing for humans to direct their own evolution.[47]
Henry H. Goddard was a eugenicist. In 1908, he published his own version, The Binet and Simon Test of Intellectual Capacity, and cordially promoted the test. He quickly extended the use of the scale to the public schools (1913), to immigration (Ellis Island, 1914) and to a court of law (1914).[48]
Unlike Galton, who promoted eugenics through selective breeding for positive traits, Goddard went with the US eugenics movement to eliminate "undesirable" traits.[49] Goddard used the term "feeble-minded" to refer to people who did not perform well on the test. He argued that "feeble-mindedness" was caused by heredity, and thus feeble-minded people should be prevented from giving birth, either by institutional isolation or sterilization surgeries.[48] At first, sterilization targeted the disabled, but was later extended to poor people. Goddard's intelligence test was endorsed by the eugenicists to push for laws for forced sterilization. Different states adopted the sterilization laws at different paces. These laws, whose constitutionality was upheld by the Supreme Court in their 1927 ruling Buck v. Bell, forced over 60,000 people to go through sterilization in the United States.[50]
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