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14 19 20 39 40+ 14 19 20 39 40+ 14 19 20 39 40+ 14 19 20 39 40+ 14 19 20 39 40+ 0.71 0.47 0.33 0.37 0.53 0.75 0.43 0.43 0.46 0.65 0.73 0.55 0.54 0.55 0.61 0.67 0.51 0.34 0.79 0.35 0.72 0.61 0.44 0.83 0.47 0.66 0.61 0.48 0.85 0.55 0.74 0.77 0.56 0.80 0.79 0.56 0.83 0.79 0.86 0.70 0.69 0.48 0.24 0.26 0.27 0.59 0.66 0.71 0.73 0.41 0.73 0.67 0.81 0.78 0.59 0.82 0.67 0.75 0.73 0.70 0.42 0.77 0.79 0.85 0.87 0.96 0.97 0.92 0.92 0.94 0.49 0.51 0.75 0.83 0.71 0.82 0.69 0.38 0.86 0.78 0.82 0.64 0.37 0.92 0.09

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Brief Comments on Good Factors As more intelligence test batteries pay closer attention to sampling a greater breadth of narrow abilities within each CHC theoretical construct domain, some of the established rules of thumb

regarding what constitutes a strong or good factor loading for a cognitive construct may need to change. Reviewers often relate the strength of a factor (and its indicators) to the absolute magnitude and consistency of the factor loadings. McGrew and Woodcock (2001) argue that, in

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some situations, excessively high test factor loadings may be a counter indicator of good construct validity For example, in the WJ-R, the Glr cluster was comprised of the Visual Auditory Learning and Memory for Names tests Both tests consistently demonstrated high Glr factor loadings In contrast, the WJ III Glr cluster is comprised of the Visual Auditory Learning and Retrieval Fluency tests These two WJ III tests demonstrate markedly less consistent Glr factor loadings in Table 149, with the Retrieval Fluency loading being much lower (31 to 51) than Visual Auditory Learning (71 to 86) Did the WJ-R Glr factor (and its two tests) represent a more valid factor than the WJ III Glr factor McGrew and Woodcock (2001) argue that, when all forms of validity evidence are combined, the WJ III Glr factor is more valid than the WJ-R Glr construct.

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Why It is not often recognized that, when indicators of different aspects of a broad construct domain are sampled adequately, a factor with all moderate factor loadings may, in fact, be a more valid factor This is referred to as the attenuation paradox in the reliability literature (Boyle, 1991; Clark & Watson, 1995; Loevinger, 1954), where it has long been recognized that if the inter-item correlation increases among items too much, a test may become very homogeneous and reliable, but at the expense of narrow content coverage that compromises validity The same principle holds for the correlation of test factor indicators Maximizing the absolute magnitude of indices of factor homogeneity (eg, factor loadings) may occur at the expense of factor breadth (construct validity).

One may end up with a very narrow factor with test indicators that may tap very similar abilities, rather than a factor that more adequately samples different aspects of the construct domain Post-WJ-R content validity and hierarchical CFA studies that included narrow and broad factors suggested that the relatively high and tight WJ-R Glr factor loadings were reflecting a narrow ability (viz, MA, Associative Memory) and not the intended broad Glr ability (Flanagan et al, 2000; McGrew & Flanagan,.

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1998; McGrew & Woodcock, 2001) McGrew and Woodcock (2001) present logical and empirical evidence (eg, content validity; hierarchical narrow and broad CFA analyses; differential developmental growth curve trajectories) that supports the divergent WJ III Glr factor loadings for Visual Auditory Learning and Retrieval Fluency as reflecting a more valid factor and set of indicators A review of the factor loadings in Table 149, in the context of other forms of validity evidence, suggests that the WJ III Glr, Ga, and Gv clusters are also exemplars of broader and more valid CHC construct measures Structural Validity: Special Study Analysis The WJ III technical manual describes a study (Gregg/Hoy 1985 study) based on a sample of 204 university students who were administered a wide array of cognitive and achievement measures Recently, McGrew et al.

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