Summary
The Wechsler Intelligence Scale for Children-Revised (WISC-R) largely reflects a general intellectual factor, though multi-factor models offer a slightly better fit. Findings remained consistent across age groups and diverse populations in replicated studies.
Area of Science:
- Psychometrics
- Developmental Psychology
- Educational Psychology
Background:
- The Wechsler Intelligence Scale for Children-Revised (WISC-R) is a widely used tool for assessing child intelligence.
- Understanding the underlying factor structure of the WISC-R is crucial for accurate interpretation of test results.
- Previous models have proposed different factor structures to explain WISC-R performance.
Purpose of the Study:
- To perform a confirmatory factor analysis on the WISC-R subtests across 11 age groups.
- To compare the fit of single-factor, two-factor, and three-factor models to the WISC-R data.
- To examine the consistency of these factor structures across different age groups and in previously published studies.
Main Methods:
- Simultaneous maximum likelihood confirmatory factor analysis was conducted on the 12 WISC-R subtests.
- Models tested included single-factor, orthogonal and oblique two-factor (Verbal and Performance), and orthogonal and oblique three-factor structures.
- Analyses were replicated on 11 independent samples from published literature.
Main Results:
- The single-factor model provided a reasonable fit, but with some misspecification.
- Oblique multi-factor models demonstrated a better fit than the single-factor model, although they also showed misspecification.
- Factor structures (single-factor, oblique two-factor, oblique three-factor) were consistent across age groups and replicated across diverse populations.
Conclusions:
- The WISC-R primarily comprises a general intellectual factor.
- Existing models explaining WISC-R performance are only partially accurate.
- The factor structure of the WISC-R is robust and consistent across developmental stages and different samples.
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