Latent structureScale / measurement
Multi-group Measurement Invariance Testing
Multi-group measurement invariance testing 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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Sources
- 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 ↗
Related methods
Referenced by
Computerized adaptive test measurement invarianceMulti-group convergent validityMulti-group Cronbach's alphaMulti-group Differential Item FunctioningMulti-group discriminant validityMulti-group Generalizability TheoryMulti-group item analysisMulti-group item response theoryMulti-group McDonald's omegaMulti-group Rasch modelMulti-group Reliability AnalysisMulti-group scale developmentMulti-group test-retest reliabilityShort Form Measurement Invariance