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The study of developmental patterns of cognitive growth and change has fascinated cognitive and developmental psychologists for decades (see 5). Although longitudinal data are typically viewed as the best source for investigating developmental changes in intelligence, largescale longitudinal data sets are expensive and are few and far between. Not unexpectedly, crosssectional normative data from nationally standardized measures of cognitive abilities have played a prominent role in this research. As noted by Gustafsson and Undheim (1996), most of the research on changes in cognitive abilities, particularly during adulthood, has been tied largely to Gf Gc theory (p. 221). This section highlights some of the limitations of the extant cross-sectional intelligence research and then describes how the WJ III can help overcome these limitations. Finally, potential new insights into the growth and decline of human intelligence are presented via select cross-sectional WJ III CHC growth curves. Some Limitations of the Available Intelligence Growth Curve Research Various iterations of the Wechsler series norm data have played a central role in the analysis of intellectual development, primarily because of the relatively similar format of most of the individual tests in the three separate Wechsler batteries. Notwithstanding the important contribution of the analyses of the various Wechsler standardization samples, these data suffer from a number of significant limitations that raise questions about the accuracy of some of the conclusions derived from this research. First, and foremost, despite tests with common names and test formats (e.g., WPPSI-R, WISC-III, and WAIS-III Similarities test), substantial differences in content are present, and the pattern of performance for a given participant across subtests may not be particularly consistent

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between tests (Strauss et al., 2000, p. 238). Attempts to apply decision rules derived from the analyses of test scores and subtest patterns on one version of the Wechsler may not be applicable when using a different version (Bornstein, 1987; Chelune, Eversole, Kane, & Talbott, 1987). Second, as outlined in this chapter and by others (Flanagan et al., 2001; McGrew & Flanagan, 1998; Woodcock, 1990), most of the Wechsler-based developmental research has used tests that are impure from the perspective of Horn s theory (Kaufman, Kaufman, Chen, & Kaufman, 1996, p. 161). The questioning of the validity of some of the Wechsler tests as indicators of CHC abilities has significant implications. For example, the confidence that has been placed in the interpretation of the Wechsler Performance Scale as an indicator of Gf is now being questioned. Wang and Kaufman (1993) pointed out the significant implications of this now-recognized Performance Scale misinterpretation when they observed:

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analyses conducted by Woodcock (1990) and Stone (1992) that offer empirical evidence that Wechsler s Performance Scale may, indeed, be primarily a measure of Gv.... The possibility remains that the numerous research investigations of aging and intelligence that have involved the WAIS and WAIS-R may have attested to the rapid and early decline of Gv or, more likely, an amalgam of Gv and Gf instead of just Gf. (p. 30)

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The aforementioned confounded interpretation of the Wechsler Performance Scale is problematic as it is axiomatic in science that the measurement of a phenomenon requires a unidimensional measurement scale in which the resultant scores reflect individual differences on a single common dimension (Hattie, 1985; Lumsden, 1961; Reise, Waller, & Comrey, 2000). If a scale is multidimensional (i.e., has multiple correlated dimensions), then not only is the total score more challenging to interpret but different aspects of the scale (e.g., its content facets) may have different correlations with external variables (Reise et al., 2000, p. 293).

Summary

Third, as described in the cross-battery section of this chapter, the Wechsler batteries, as well as most other major intelligence batteries, have been unable to shed light on a number of important CHC abilities because of inadequate construct representation With the exception of the WAIS-III Matrix Reasoning tests, none of the Wechsler batteries have been able to shed valid light on the developmental patterns for Gf Other constructs that have not been reflected in the extant Wechsler cognitive developmental literature are Glr and Ga Fortunately, recent analyses of the developmental change in valid Gf and Glr test scores from other nationally normed instruments (viz, K-BIT, K-FAST, K-SNAP, and KAIT) have been reported (Kaufman et al, 1996; Wang & Kaufman, 1993) Fourth, even for the Wechsler tests that are valid indicators of a CHC ability (eg.

, Arithmetic as an indicator of Gq), the availability of only one test or indicator for a CHC construct limits the generalizability of some of the research findings (Kaufman et al, 1996) Finally, the lack of an equal-interval measurement scale across the three Wechsler batteries has necessitated some creative methodological trickery to analyze scores across ages For example, Kaufman (1990) employed a procedure with the WAIS-R data in which the individual test scores for all seven adult age groups in the standardization sample were equated to a reference norm group All WAIS-R norm subject individual test raw scores were converted to subtest scaled scores (M = 10; SD = 3) using the target norm age group of 25 34 This provided for the ability to analyze the change in standard scores in reference to a common standard Another creative approach reported by Kaufman et al.

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(1996) was to convert the raw scores for all norm subjects between ages 15 and 94 on seven tests from the Kaufman family of instruments to z-scores (M = 100; SD = 15) calculated on the entire sample (N = 1,193) The resultant standard scores, which are referenced to the mean and standard deviation of the entire sample, were then analyzed At the level of individual tests, the latter approach provides for more precision in the measurement of change than the.

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