title: Covariate-free and Covariate-dependent Reliability.
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.
authors.affiliation: Departments of Psychology and Statistics, University of California, Los Angeles, 4627 Franz Hall, PO Box 951563, Los Angeles, CA, 90095-1563 , USA. bentler@ucla.edu.
authors.forename: Peter M
authors.initials: PM
authors.lastname: Bentler
mesh_terms: D000704:Analysis of Variance; D001921:Brain / Q000033:anatomy & histology; D003627:Data Interpretation, Statistical; D005163:Factor Analysis, Statistical; D006801:Humans; D007360:Intelligence; D009929:Organ Size; D011594:Psychometrics; D015203:Reproducibility of Results
keywords: classical test theory; covariance structure analysis; factor analysis; reliability of composites; structural equation modeling