Testing for multi-group measurement invariance
Testing for multi-group measurement invariance examines whether a latent construct is measured in the same way across two or more distinct groups — such as cultures, genders, or age cohorts. It is a prerequisite for meaningful group comparisons of latent means or relationships, ensuring that observed score differences reflect true differences rather than measurement artifacts.
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Method map
The neighbourhood of related methods — select a node to explore.
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Kilder
- 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 ↗
- Putnick, D. L. & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. DOI: 10.1016/j.dr.2016.06.004 ↗
Slik siterer du denne siden
ScholarGate. (2026, June 3). Multi-group Measurement Invariance Testing. ScholarGate. https://scholargate.app/no/psychometrics/multi-group-measurement-invariance
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Konfirmatorisk faktoranalyse (CFA)Psykometri↔ compare
- Differensiert varefunksjonering (DIF)Psykometri↔ compare
- Eksplorerende faktoranalyse (EFA)Statistikk↔ compare
- Flergruppe-konfirmerende faktoranalyse (MG-CFA)Psykometri↔ compare
- Multigruppe eksplorerende faktoranalyse (MGEFA)Psykometri↔ compare
- StrukturmodelleringForskningsstatistikk↔ compare
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