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the validity of the IQ construct. Mean Full Scale IQs are shown in Table 1.3 for five categories of occupation, listed in order of the average educational level (from high to low) that typifies each category. These values range from about 87 for unskilled workers to 112 for professionals and technical workers. The 25-point difference between professionals and unskilled workers, combined with the educational data, gives strong support to the construct underlying Wechsler s Full Scale IQs for adult samples; occupational and educational data presented in 4 give substantial validity support for the separate Verbal and Performance IQs as well. In general, the relationship between occupation, education, and WAIS-R IQs for persons 75 years and older was similar to that found by Reynolds et al. (1987) for persons 16 to 74 (Ryan, Paolo, & Dunn, 1995). When past occupation was measured in an elderly sample (ages 75+), individuals who were retired professionals or managers earned WAIS-R Full Scale IQs that were 15.78 points higher than those who were retired

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TABLE 1.3 Mean WAIS-R Full Scale IQs for 20- to 54-year-olds employed in different levels of occupation

Occupational Group 1. Professional and technical 2. Managers and administrators, clerical workers, and sales workers 3. Skilled workers (craftsmen and foremen) 4. Semiskilled workers (operatives, service workers including private household farmers, and farm managers) 5. Unskilled workers (laborers, farm laborers, farm foremen)

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For ages 20 to 54, WAIS-R data provide additional validation evidence for Wechsler s IQs by examining mean scores earned by adults actively engaged in different levels of occupation (Reynolds et al., 1987). Adolescents have been eliminated from consideration because occupational data are based on their parents occupation, and the 55 74-year-olds have been eliminated because two thirds are categorized as Not in Labor Force. Occupational data are treated in depth in 4, and are summarized here to illustrate

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NOTE: Data are from Reynolds et al. (1987).

laborers or operatives Education was also an important variable in this elderly sample, as it accounted for 30% to 43% of the variance in the WAIS-R IQs Similar to results with younger adults, there were substantial differences (1705 points) between those with the most education (12 or more years) and those with less formal schooling (0 to 11 years) As the relationship between education and occupation is known to be quite strong, Ryan et al (1995) performed analyses to determine whether preretirement occupation would explain an additional amount of variance in IQ over and above age and education Occupation did, in fact, contribute significantly to all WAIS-R IQs, explaining an additional 3% to 6% of the variance in the Verbal, Performance, and Full Scale IQs, beyond that of age and education When IQs are provided for specific jobs instead of general categories, even wider discrepancies emerge between diverse occupations.

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