Porovnat metody

	Bayesovské testování invariance měření	Vícestupňová konfirmační faktorová analýza (MG-CFA)
Obor	Psychometrika	Psychometrika
Rodina	Latent structure	Latent structure
Rok vzniku	2013	1971
Tvůrce	Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot	Karl Jöreskog
Typ	Bayesian multigroup latent variable test	Measurement model / invariance test
Původní zdroj	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.	Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70.
Další názvy	Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance	MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Příbuzné	6	6
Shrnutí	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.	Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.