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Structural Analysis of Correlated Factors: Lessons From the Verbal-Performance Dichotomy of the Wechsler Scales
Although the constructs of interest in psychological assessment and applied research often are correlated with other variables, a fundamental question has not been adequately resolved: "Just how high can the correlations among supposedly discrete constructs or factors be?" Logically, based...
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Published in: | School psychology quarterly 1994, Vol.9 (3), p.161-197 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Although the constructs of
interest in psychological assessment and applied research often are correlated with other
variables, a fundamental question has not been adequately resolved: "Just how high
can the correlations among supposedly discrete constructs or factors be?" Logically,
based on the application of convergent and discriminant validity criteria, the factors should
have higher correlations with variables that they are intended to measure than with variables
that they are not intended to measure. The structural issues, which pervade measurement
applications in school psychology, have profound consequences when analyzed with respect to
allowable inferences and decision outcomes for children. In this paper, exploratory and
confirmatory analyses of the verbal-performance dichotomy of the Wechsler scales of
intelligence are used to illustrate key concepts and procedures for the analysis of correlated
factors. Implications for research and professional practice in the assessment of intelligence
are discussed. |
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ISSN: | 1045-3830 1939-1560 |
DOI: | 10.1037/h0088287 |