ArticleBehavior research methods2025
Testing measurement and structural invariance in latent mediation models - A comparison of IPCR and Bayesian MNLFA.
Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Obesity and Keratoconus: A Mediation Study Based on the Chinese Keratoconus Cohort.Translational vision science & technology · 2026Article
- Editorial: introduction to the special issue "methodological challenges of complex latent mediator and moderator models".Behavior research methods · 2026Article
- Experiences of victimization, maladaptive schemas, and the mediating role of resilience in adolescents.BMC psychology · 2026Article
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Abstract
Moderated mediation models are frequently used in psychological research to examine direct, indirect, and total effects across an external moderating variable. When these models involve latent variables, measurement invariance should be tested first to ensure that measures function equivalently across subpopulations. If measurement invariance is violated, conclusions drawn about the moderation effects can be biased. However, measurement invariance is seldom tested across the moderator variable itself, especially if it is continuous. In this paper, we present two approaches that allow testing measurement and structural invariance simultaneously and across continuous covariates. They are termed individual parameter contribution regression (IPCR; Arnold et al., Structural Equation Modeling: A Multidisciplinary Journal, 27, 613-628, 2019) and moderated nonlinear latent factor analysis (MNLFA; Bauer & Hussong, Psychological Methods, 14(2), 101-125, 2009). We showcase both approaches with empirical data of
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