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tests (Kite, 1916). This extension was not conducted with the rigor that characterized the construction of tests for children, and the primary applications of the scale were for use with schoolage children (Binet, 1911). Measuring the intelligence of adults, except those known to be mentally retarded, was almost an afterthought. But the increased applicability of the Binet-Simon tests for various child-assessment purposes dawned on Binet just prior to his untimely death in 1911: By 1911 Binet began to foresee numerous uses for his method in child development, in education, in medicine, and in longitudinal studies predicting different occupational histories for children of different intellectual potential (Matarazzo, 1972, p. 42).
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Lewis Terman was one of several people in the United States who translated and adapted the Binet-Simon scale for use in the United States, publishing a tentative revision (Terman & Childs, 1912) 4 years before releasing his painstakingly developed and carefully standardized Stanford Revision and Extension of the Binet-Simon Intelligence Scale (Terman, 1916). This landmark test, soon known simply as the StanfordBinet, squashed competing tests developed earlier by Goddard, Kuhlmann, Wallin, and Yerkes. Terman s success was undoubtedly due in part to heeding the advice of practitioners whose demand for more and more accurate diagnoses ...raised the whole question of the accurate placing of tests in the scale and the accurate evaluation of the responses made by the child (Pintner & Patterson, 1925, p. 11). But, like Binet, Terman (1916) saw intelligence tests useful primarily for the detection of mental deficiency or superiority in children and for the identification of feeblemindedness in adults. He cited numerous studies of delinquent adolescents and adult criminals, all of which pointed to the high percentage of mentally deficient juvenile delinquents, prisoners, or prostitutes, and concluded that there is no investigator who denies
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the fearful role played by mental deficiency in the production of vice, crime, and delinquency (p. 9). Terman also saw the potential for using intelligence tests with adults for determining vocational fitness, but, again, he emphasized employing a psychologist...to weed out the unfit or to determine the minimum intelligence quotient necessary for success in each leading occupation (p. 17). Perhaps because of this emphasis on the assessment of children or concern with the lower end of the intelligence distribution, Terman (1916) did not use a rigorous methodology for constructing his adult-level tasks. Tests below the 14-year level were administered to a fairly representative sample of about 1,000 children and early adolescents. To extend the scale above that level, data were obtained from 30 businessmen, 50 high school students, 150 adolescent delinquents, and 150 migrating unemployed men. Based on a frequency distribution of the mental ages of a mere 62 adults (the 30 businessmen and 32 of the high school students above age 16), Terman partitioned the graph into the following MA categories: 13 15 (inferior adults), 15 17 (average adults), and above 17 (superior adults).
seven or fewer years of schooling. Thus, the very highly educated adults scored 2.2 SD higher than relatively uneducated adults on Vocabulary and 1.5 SD higher on Block Design. These data show that relatively uneducated people perform poorly on both school-related and school-unrelated tasks, and that both types of tests are substantially related to formal education. As indicated, however, highly educated adults have a greater advantage on crystallized than on fluid tasks (i.e., on Information or Vocabulary than on Block Design). Data from the Fels Longitudinal Study (McCall, 1977) reveal that childhood IQs correlate about .50 ( .10) with both adult educational and occupational attainment, stabilizing at that relatively high level at ages 7 to 8 for males and females. The strong relationship between IQ and formal education should not obscure the considerable variability of IQs earned by individuals with the same educational attainment. Fluctuations in WAIS-R IQ by education level were shown by Reynolds et al. (1987), and are presented in Table 4.5. These results indicate that each level of educational attainment is accompanied by a wide range of Full Scale IQs. For example, individuals with some college education have a higher mean IQ by about 11 points than those with some high school, but their IQ ranges are fairly similar: 76 139 for those with 13 15 years of schooling compared to 59 146 for those with 9 11 years of schooling.
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