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Bayesian Measurement Invariance Testing
Bayesian measurement invariance testing evaluates whether a scale's factor loadings and item intercepts are equivalent across groups, using a Bayesian framework that allows parameters to deviate from strict equality by a small, probabilistically specified amount rather than imposing an exact constraint.
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Sources
- Van de Schoot, R., Kluytmans, A., Tummers, L., Lugtig, P., Hox, J., & Muthen, B. (2013). Facing off with Scylla and Charybdis: a comparison of scalar, partial, and the novel possibility of approximate measurement invariance. Frontiers in Psychology, 4, 770. DOI: 10.3389/fpsyg.2013.00770 ↗
- Muthen, B., & Asparouhov, T. (2013). BSEM measurement invariance analysis. Mplus Web Notes: No. 17. link ↗