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tently outperformed females in quantitative ability (Halpern, 2000), although the advantage does not emerge until early adolescence, about age 12 or 13 (Hyde, 1981; Maccoby & Jacklin, 1974). That research finding may account for the notable gender difference on WAIS-III Arithmetic, and also on WAIS-R Arithmetic (0.32 SD, based on data presented by Kaufman et al., 1988), but not on Wechsler s children s scales (e. g., Jensen & Reynolds, 1983). Interestingly, the math superiority for males is evident on standardized tests, but not in classroom grades; research on math performance in school has generally reported no differences, or differences favoring females, even in high-level mathematics courses (Bridgeman & Wendler, 1991; Kessel & Linn, 1996). The reasons for the gender differences observed in math are subtle and sometimes controversial (Gallagher & DeLisi, 1994; Gallagher et al., 2000; Kessel & Linn, 1996). Whereas some investigators (Benbow & Stanley, 1980, 1982, 1983) have implicated biological factors as causing the gender differences in mathematics, Jacklin (1989) cites the lack of evidence for biological causation; she focuses instead on a series of investigations indicating that math anxiety, gender-stereotyped beliefs of parents, and the perceived value of math to the student account for the major portion of sex differences in mathematical achievement (p. 127). More recent models take less extreme positions about causality, recognizing that societal and biological factors interact systematically to create gender differences in cognitive abilities such as mathematics (Halpern, 2000). Clerical Speed The substantially better score by females on Digit Symbol-Coding, and the mildly higher score on Symbol Search (which places less demand on fine-motor coordination than does Digit Symbol-Coding), combined to produce the much higher PSI for females mentioned previously. Female superiority on Digit Symbol Coding and symbol-digit substitution tasks (rapidly
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copying the digit rather than the symbol) is well documented in the literature, although the reason for this female advantage is less apparent; numerous experimental psychologists have systematically explored explanations for this persistent gender difference. Estes (1974) hypothesized that females outperform males on these psychomotor tasks because of a greater ability to verbally encode the abstract symbols. This hypothesis has received support from Royer (1978), who devised three forms of the symbol-digit substitution task. One form used the easily encoded WAIS symbols, while the others used symbols of greater spatial and orientational complexity (ones not readily encoded verbally). Females outperformed males significantly on the WAIS symbols, as expected, but males significantly outscored females on the most complex symbol set. Additional support for the Estes verbal encoding hypothesis comes from Majeres s (1983) experiment indicating female superiority on matching and symbol-digit tasks that utilize verbal material, contrasted with male superiority on symbol-digit substitution tasks employing spatial stimuli. However, arguments against the Estes hypothesis persist. Delaney, Norman, and Miller (1981) also used symbol sets that varied in their degree of verbal encodability and concluded that the female advantage seems due to a perceptual speed superiority rather than a verbal encoding strength. Laux and Lynn (1985) also challenged the encoding hypothesis, but, unlike the previous investigations, Laux and Lynn s correlational and componential analyses and experimental design did not provide a direct test of the pertinent question. Although the female advantage in Digit Symbol and other tests of clerical speed has emerged in numerous investigations, including crossculturally, Feingold (1988) noted that the size of the discrepancy had fallen substantially from the mid-1940s to mid-1980s. Contrary to Feingold s (1988) observations, the WAIS-III versus WAISR data do not support a decrease in the female
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100 PART II INDIVIDUAL DIFFERENCES ON AGE, SOCIOECONOMIC STATUS, AND OTHER KEY VARIABLES superiority in clerical speed through the mid1990s, when the WAIS-III was normed If anything, the discrepancy increased during the almost two decades that separated the standardizations On the WAIS-R, females earned scaled scores that averaged 092 points higher than males, across four age groups between 16 19 and 55 74 years (Kaufman, McLean, & Reynolds, 1988), a discrepancy of 031 SD, not nearly as large as the discrepancy of 050 SD observed on WAIS-III Digit Symbol-Coding (050 SD) Spatial Visualization The higher scores by males than females on WAIS-III Block Design, KAIT Memory for Block Designs, KAIT Logical Steps, and K-SNAP Gestalt Closure undoubtedly reflects the welldocumented male advantage in visual spatial ability, or Gv from Horn s (1989) theory, a skill that is measured by all of these subtests.
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