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Entwicklung von Skalen für mehrere Gruppen×Multigruppen-konfirmatorische Faktorenanalyse (MG-KFA)×
FachgebietPsychometriePsychometrie
FamilieLatent structureLatent structure
Entstehungsjahr1971 (multi-group CFA); 2000 (applied synthesis for scale development)1971
UrheberJöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000)Karl Jöreskog
TypScale development / measurement model testingMeasurement model / invariance test
Wegweisende QuelleVandenberg, 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 ↗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 ↗
AliasnamenMGSD, cross-group scale development, multi-sample scale development, comparative scale constructionMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA
Verwandt66
ZusammenfassungMulti-group scale development constructs and validates a measurement scale simultaneously across two or more distinct populations or groups. The approach integrates standard item generation and factor-analytic procedures with a systematic hierarchy of measurement invariance tests to ensure that the resulting scale measures the same construct in the same way in every target group.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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ScholarGateMethoden vergleichen: Multi-group scale development · Multi-group confirmatory factor analysis. Abgerufen am 2026-06-17 von https://scholargate.app/de/compare