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correct, then only the very oldest WAIS-III or KAIT age groups (75 and above) would be predicted to show significant urban rural differences on the more crystallized subtests. Unfortunately, those data are not available because neither test used urban rural residence as a stratification variable.

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Like residence, occupational group was not used as a stratification variable for either the WAIS-III or KAIT, so data relating IQ to occupation are based on WAIS-R analyses (Reynolds et al., 1987). Occupational category is an important variable to understand because, like educational attainment, it is often used as an index of socioeconomic status. In Table 4.4, occupation differences are provided for the total WAIS-R sample, revealing a steady decline in mean IQs from professional and technical workers through unskilled laborers. The IQ ranges for these extreme occu-

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pational groups are from 171 2 to 221 2 points, with the Verbal Scale producing the largest discrepancies. Examination of occupation differences for different age groups within the WAIS-R age range is essential because of the changing nature of this background variable: For ages 16 19, occupational group corresponds to the adolescent s head of household, but for ages 20 and above it relates to the person s own job. The group labeled not in labor force becomes quite substantial (67% of the sample) for ages 55 74. To conduct an occupational group by age analysis, the four broad age groups had to be reduced to three (by merging ages 20 34 with ages 35 54) so that no mean IQs would be based on a sample size smaller than 20 (Reynolds et al., 1987). The results of this analysis appear in Table 4.4.

Ages 16 19 Occupational Group Professional and Technical Managers, Clerical, Sales Skilled Workers Semiskilled Workers Unskilled Workers Not in Labor Force V 108 103 97 93 93 P 105 103 99 95 92 FS 107 103 98 93 92 V 113 104 99 92 87 99 Ages 20 54 P 110 103 103 94 90 98 FS 112 104 101 92 87 99 V 115 110 99 94 99 Ages 55 74 P 109 106 102 96 99 FS 114 109 100 95 99

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