Methoden vergleichen
Prüfen Sie die ausgewählten Methoden nebeneinander; abweichende Zeilen sind hervorgehoben.
| Entwicklung von Skalen für mehrere Gruppen× | Multigruppen-konfirmatorische Faktorenanalyse (MG-KFA)× | |
|---|---|---|
| Fachgebiet | Psychometrie | Psychometrie |
| Familie | Latent structure | Latent structure |
| Entstehungsjahr≠ | 1971 (multi-group CFA); 2000 (applied synthesis for scale development) | 1971 |
| Urheber≠ | Jöreskog, K. G. (multi-group SEM framework); systematised for scale development by Vandenberg & Lance (2000) | Karl Jöreskog |
| Typ≠ | Scale development / measurement model testing | Measurement model / invariance test |
| Wegweisende Quelle≠ | 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 ↗ | 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 ↗ |
| Aliasnamen | MGSD, cross-group scale development, multi-sample scale development, comparative scale construction | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA |
| Verwandt | 6 | 6 |
| Zusammenfassung≠ | Multi-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. |
| ScholarGateDatensatz ↗ |
|
|