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Multigruppen-Itemanalyse×Bestätigende Faktorenanalyse (CFA)×
FachgebietPsychometriePsychometrie
FamilieLatent structureLatent structure
Entstehungsjahr19861969
UrheberClassical test theory tradition; systematised by Crocker & Algina (1986)Karl Gustav Jöreskog
TypComparative item-level analysisHypothesis-testing latent variable model
Wegweisende QuelleCrocker, L. & Algina, J. (1986). Introduction to Classical and Modern Test Theory. Holt, Rinehart and Winston. ISBN: 978-0030616341Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
AliasnamenMGIA, group-comparative item analysis, subgroup item analysis, cross-group item analysisCFA, confirmatory FA, measurement model, restricted factor analysis
Verwandt64
ZusammenfassungMulti-group item analysis computes classical item statistics — difficulty, discrimination, and corrected item-total correlations — separately for each subgroup in a sample and then compares those statistics across groups. It is a standard diagnostic step in scale development and test fairness evaluation, revealing items that behave differently for men versus women, across age cohorts, or across cultural groups before more formal DIF testing.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.
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ScholarGateMethoden vergleichen: Multi-group item analysis · Confirmatory factor analysis. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare