CB-SEM latent interaction: Unconstrained and orthogonalized approaches

Jun-Hwa Cheah, Mumtaz Ali Memon, James E Richard, Hiram Ting and Tat-Huei Cham

Australasian marketing journal, 2020, vol. 28, issue 4, 218-234

Abstract: Covariance Based – Structural Equation Modelling (CB-SEM) is often used to investigate moderation and latent interaction effects. This study illustrates and compares the application of constrained, unconstrained and orthogonalized CB-SEM approaches to latent variable interaction analysis using AMOS. Although all three techniques provided similar parameter estimates, the orthogonalized approach provided reduced standard errors resulting in identifying a significant latent interaction, suggesting the orthogonalized approach may be better suited for exploratory research.

Keywords: Latent Interaction Effects; Structural Equation Modelling; Unconstrained Approach; Orthogonalized Approach; Theory of Planned Behavior (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (10)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:aumajo:v:28:y:2020:i:4:p:218-234

DOI: 10.1016/j.ausmj.2020.04.005

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