Covariate-free and Covariate-dependent Reliability

Peter M. Bentler ()
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Peter M. Bentler: University of California, Los Angeles

Psychometrika, 2016, vol. 81, issue 4, No 1, 907-920

Abstract: 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.

Keywords: reliability of composites; classical test theory; factor analysis; structural equation modeling; covariance structure analysis (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11336-016-9524-y

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