Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models. Issue 2 (4th March 2021)

• Record Type: Journal Article
• Authors: Hsiao, Yu-Yu; Kwok, Oi-Man; Lai, Mark H. C.
• Is Part Of: Structural equation modeling. Volume 28:Issue 2(2021)
• Page Start: 250
• Page End: 260
• Publication Date: 2021-03-04
• Subjects: Reliability -- composite score -- structural equation modeling -- latent interaction; Multivariate analysis -- Periodicals; Social sciences -- Statistical methods -- Periodicals; 519.535
• DOI: 10.1080/10705511.2020.1782206
• Languages: English
• ISSNs: 1070-5511

Abstract

ABSTRACT: We investigated the performance of two single indicator methods: latent moderated structural equation (LMS) and reliability-adjusted product indicator (RAPI) methods, on testing interaction effects with congeneric measures, which vary in factor loadings and error variances under a common factor. Additionally, in the simulation study, we compared the performance of four reliability estimates (Cronbach's alpha, omega composite, Coefficient H, and greatest lower bound [GLB]) to adjust for the exogenous composites' measurement errors. Results from the study showed that: while estimating interaction effects with exogenous composites from congeneric measures, the four reliability estimates performed comparably well. Recommendations on the choice of reliability estimates between the LMS and the RAPI methods under different sample sizes and population reliability conditions are further discussed.