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CHC theory evolved from the psychometric tradition of defining intelligence (Flanagan et al., 2000; McGrew & Flanagan, 1998). The psychometric approach is the oldest and most wellestablished approach to describing the structure of intelligence, dating back to Galton s attempt, in the late 1800s, to measure intelligence with psychophysical measures. Correlation and factoranalytic methods are employed typically to analyze scores from psychological tests in an attempt to objectively identify the primary dimensions that form the structure of individual differences in cognitive ability. CHC theory is a strong psychological theory, as it represents one of the best examples of cumulative science in applied psychology. The original roots of CHC theory can be traced to Spearman s (1904, 1927) presentation of the general or g-factor theory of intelligence, a development some consider the formal birth of the psychometric research tradition. The fundamental premise of Spearman s theory is that a single g or general intelligence ability accounts for the performance of individuals on most tasks of cognitive ability. Spearman s work was followed by decades of correlation and factor-analytic investigations by researchers who were committed to slicing and dicing the construct of intelligence into a taxonomy of cognitive abilities. One of these researchers, Raymond Cattell, diverged from Spearman s single g-factor model to propose the existence of two general types of intelligence: fluid intelligence (Gf ) and crystallized intelligence (Gc) (Cattell, 1941). Fluid Intelligence (Gf ) is influenced by both biological and neurological factors and incidental learning through interaction with the environment and includes inductive and deductive reasoning as hallmark Gf indicators (Taylor, 1994). In contrast, Crystallized Intelligence (Gc) is comprised of abilities that reflect the influences of acculturation (viz., verbal conceptual knowledge; Taylor,

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The validity of psychological tests hinges on the degree to which empirical evidence and theory support the use and interpretation of the test scores. Over time, a number of prominent measurement experts (Benson, 1998; Cronbach, 1971; Cronbach & Meehl, 1955; Loevinger, 1957; Messick, 1989; Nunnally, 1978) have, in one way or another, outlined a three- or foursource validity framework, a framework that now serves as the foundation for most of the validity standards in the joint APA, AERA, NCME Standards on Educational and Psychological Testing (1999). As per the joint Test Standards, substantive, internal, and external validity evidence is the cornerstone of a strong program of construct validity. The substantive stage of construct validity defines the theoretical and measurement (empirical) domains of the theoretical constructs. In the current context, the substantive question to be answered is How should intelligence be defined and operationally measured by the WJ III According to Benson (1998), a strong psychological theory maximizes substantive (content) validity vis- -vis the specification of a well-bounded construct domain, which, in turn, guides the development of measures in the empirical domain. The CattellHorn-Carroll (CHC) Theory of Cognitive Abilities served this function for the WJ III. The theory and its use as the WJ III test-design blueprint is described here.

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1994; Gustafsson, 1994). Over the next 30 to 40 years, a variety of individual scholars (Carroll & Horn, 1981; Ekstrom, French, & Harmon, 1979; Horn, 1965, 1968, 1985, 1988, 1991; Thurstone, 1935, 1938; Thurstone & Thurstone, 1941) applied factor-analytic methods to a diverse array of ability measures in a wide array of samples. These efforts produced a number of empiricallybased human cognitive ability taxonomies, the most notable being the Well Replicated Common Factors (WERCOF) (Ekstrom et al., 1979) and Thurstone s Primary Mental Abilities (PMA) model (1938). Collectively, these structure-seeking research activities indicated that human intellectual ability is best represented by a multitude of abilities that vary by degree of breadth or generality. Cattell-Horn Gf Gc Model As reflected in Figure 14.1, by the early 1980s, John Horn, a student of Cattell s, articulated the relatively complete Gf Gc model of intelligence that included eight broad abilities, which, in turn, subsumed the WERCOF and PMA abilities. Horn, like Cattell, continued to dismiss the notion of g and posited the broad abilities of fluid intelligence (Gf ), crystallized intelligence (Gc), visual processing (Gv), auditory processing (Ga), short-term acquisition and retrieval (SAR, later referred to as short-term memory or Gsm), tertiary storage and retrieval (TSR, later referred to as long-term storage and retrieval or Glr), processing speed (Gs), and correct decision speed (CDS) (Horn, 1991). In a series of publications between 1981 and 1991, Horn presented evidence for a broad quantitative knowledge ability (Gq) and sketched the faint outlines of a broad English language usage ability. The latter language factor was formally defined and described by Woodcock (1994) as a broad reading and writing ability (Grw). By 1994, contemporary Cattell-Horn Gf Gc theory included 9 to 10 broad abilities. Although the Cattell-Horn Gf Gc model was derived heavily from structural or factor-analytic

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