Reliability of Scales With Second-Order Structure: Evaluation of Coefficient Alpha's Population Slippage Using Latent Variable Modeling

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

A readily applicable procedure is discussed that allows evaluation of the discrepancy between the popular coefficient alpha and the reliability coefficient of a scale with second-order factorial structure that is frequently of relevance in empirical educational and psychological research. The approach is developed within the framework of the widely used latent variable modeling methodology and permits point and interval estimation of the slippage of alpha from scale reliability in a population under investigation. The method is useful when examining the consistency of complex structure measuring instruments assessing higher order latent constructs and, under its assumptions, represents a generally recommendable alternative to coefficient alpha. The outlined procedure is illustrated using data from an authoritarianism study.

Details

Original languageEnglish
Pages (from-to)1123-1135
Number of pages13
JournalEducational and psychological measurement : EPM ; a bimonthly journal devoted to the development and application of measures of individual differences
Volume78
Issue number6
Publication statusPublished - Dec 2018
Peer-reviewedYes

External IDs

PubMed 30559517
Scopus 85043393687
ORCID /0000-0003-1106-474X/work/151436728

Keywords

Keywords

  • Coefficient alpha, Factor analysis, Latent structure, Latent variable modeling, Reliability, Second-order factor model