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Multi-group confirmatory factor analysis

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.

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Multi-Group Confirmatory Factor Analysis

Taxonomisk metodpost · latent-structure / psychometrics

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. · DOI 10.1177/109442810031002
Millsap, R. E. (2011). Statistical Approaches to Measurement Equivalence. Routledge. · ISBN 978-0805859447

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Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDifferential Item Functioningmachine-suggested · Relational suggestion, not evidence.Same method familyEFAmachine-suggested · Relational suggestion, not evidence.Same method familyMeasurement Invariancemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-group EFAmachine-suggested · Relational suggestion, not evidence.See alsoStructural Equation Modelingmachine-suggested · Relational suggestion, not evidence.