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Updated: Mar 13, 2026

Decomposing the Variance in Reading Comprehension to Reveal the Unique and Common Effects of Language and Decoding
Published on: October 11, 2018
Covariate-free and Covariate-dependent Reliability
1Departments of Psychology and Statistics, University of California, Los Angeles, 4627 Franz Hall, PO Box 951563, Los Angeles, CA, 90095-1563 , USA. bentler@ucla.edu.
Abstract:
Classical test theory reliability coefficients are said to be population specific. Reliability generalization, a meta-analysis method, is the main procedure for evaluating the stability of reliability coefficients across populations. A new approach is developed to evaluate the degree of invariance of reliability coefficients to population characteristics. Factor or common variance of a reliability measure is partitioned into parts that are, and are not, influenced by control variables, resulting in a partition of reliability into a covariate-dependent and a covariate-free part. The approach can be implemented in a single sample and can be applied to a variety of reliability coefficients.
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