Modeling Measurement Errors of the Exogenous Composites From Congeneric Measures in Interaction Models

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, CoefficientH, 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.

Automated summary

The study compared the performance of LMS and RAPI methods on testing interaction effects, and discussed the effects of four reliability estimates. The results showed that the four reliability estimates performed comparably well in estimating interaction effects, and recommendations were provided on choosing different methods and reliability estimates based on sample size and population reliability conditions.