Módszerek összehasonlítása

	Bayes-féle konvergens validitás	Bayes-féle Mérési Invariancia Tesztelés
Tudományterület	Pszichometria	Pszichometria
Módszercsalád	Latent structure	Latent structure
Keletkezés éve	2000s–2010s	2013
Megalkotó	Building on Campbell & Fiske (1959) convergent validity; Bayesian extension developed in modern psychometrics literature	Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot
Típus	Validity assessment / Bayesian inference	Bayesian multigroup latent variable test
Alapmű	Levy, R. & Mislevy, R. J. (2016). Bayesian Psychometric Modeling. CRC Press. ISBN: 978-1466500952	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.
Alternatív nevek	Bayesian convergent validity analysis, Bayesian MTMM convergent validity, Bayesian multitrait convergent validity, BCV	Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance
Kapcsolódó	6	6
Összefoglaló	Bayesian convergent validity applies Bayesian statistical inference to assess whether different measures of the same construct converge as theory predicts. Rather than a single-point correlation estimate, it yields a full posterior distribution over the convergent correlation, enabling probability statements about the magnitude of shared variance between theoretically related measures.	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.