Higher-order exploratory factor analysis of the Reynolds Intellectual Assessment Scales with a referred sample |
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Authors: | Jason M. Nelson Gary L. Canivez Clifford V. Hatt |
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Affiliation: | a University of Montana, United States b Eastern Illinois University, United States c University of Georgia, United States d Virginia Beach City Public Schools, United States |
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Abstract: | The factor structure of the Reynolds Intellectual Assessment Scales (RIAS; [Reynolds, C.R., & Kamphaus, R.W. (2003). Reynolds Intellectual Assessment Scales. Lutz, FL: Psychological Assessment Resources, Inc.]) was investigated with a large (N = 1163) independent sample of referred students (ages 6-18). More rigorous factor extraction criteria (viz., Horn's parallel analysis (HPA); [Horn, J.L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30, 179-185.], and Minimum Average Partial (MAP) analysis; [Velicer, W.F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327.]), in addition to those used in RIAS development, were investigated. Exploratory factor analyses using both orthogonal and oblique rotations and higher-order exploratory factor analyses using the Schmid and Leiman [Schmid, J., and Leiman, J.M. (1957). The development of hierarchical factor solutions. Psychometrika, 22, 53-61.] procedure were conducted. All factor extraction criteria indicated extraction of only one factor. Oblique rotations resulted in different results than orthogonal rotations, and higher-order factor analysis indicated the largest amount of variance was accounted for by the general intelligence factor. The proposed three-factor solution was not supported. Implications for the use of the RIAS with similarly referred students are discussed. |
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Keywords: | Intellectual assessment Intelligence Exploratory factor analysis Higher-order Schmid-Leiman Reynolds Intellectual Assessment Scales (RIAS) |
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