Compară metode

	Testarea invarianței de măsurare bayesiene	Analiza factoriala confirmatorie (CFA)
Domeniu	Psihometrie	Psihometrie
Familie	Latent structure	Latent structure
Anul apariției	2013	1969
Autorul original	Bengt Muthen, Tihomir Asparouhov, Rens Van de Schoot	Karl Gustav Jöreskog
Tip	Bayesian multigroup latent variable test	Hypothesis-testing latent variable model
Sursa seminală	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.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Denumiri alternative	Bayesian MI, approximate measurement invariance, Bayesian multigroup CFA invariance, BSEM measurement invariance	CFA, confirmatory FA, measurement model, restricted factor analysis
Înrudite	6	4
Rezumat	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.	Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing.