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Updated: Mar 26, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
Published on: September 17, 2019
ON EXTENSION ANALYSIS AND ITS RELATION TO CORRELATIONS BETWEEN VARIABLES AND FACTOR SCORES
Abstract:
Given the intercorrelations among variables that are factored (core variables) and variables that are excluded from a factor analysis (extension variables), matrix algebra algorithms are developed for obtaining the correlations between the extension variables and the factor scores that would be computed by what is called the direct method for obtaining factor scores. The equations needed to obtain such extension analysis results are provided for the case of oblique factors and when either the primary factor or reference vector method of rotation is used.
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