Methoden vergleichen

	Multi-Group Item Response Theory (MG-IRT)	Bestätigende Faktorenanalyse (CFA)
Fachgebiet	Psychometrie	Psychometrie
Familie	Latent structure	Latent structure
Entstehungsjahr	1990s	1969
Urheber	Multiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990s	Karl Gustav Jöreskog
Typ	Latent trait / measurement invariance	Hypothesis-testing latent variable model
Wegweisende Quelle	Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Aliasnamen	MG-IRT, multiple-group IRT, multi-group latent trait model, IRT across groups	CFA, confirmatory FA, measurement model, restricted factor analysis
Verwandt	6	4
Zusammenfassung	Multi-group item response theory fits IRT models simultaneously across two or more defined groups — such as males and females, or different cultural samples — to determine whether item parameters are invariant across those groups. It is the primary IRT-based framework for testing measurement equivalence and detecting differential item functioning (DIF) at the model level.	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.