Latent structureScale validation
Measurement Invariance Testing
Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means.
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Sources
- Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI: 10.1177/109442810031002 ↗
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Referenced by
Bayesian Differential Item FunctioningBayesian Measurement InvarianceComputerized adaptive test measurement invarianceConfirmatory factor analysisDIF AnalysisDifferential Item FunctioningDiscriminant ValidityLongitudinal CFALongitudinal Construct ValidityLongitudinal content validityLongitudinal DIFLongitudinal Discriminant ValidityLongitudinal EFALongitudinal Measurement InvarianceMulti-group confirmatory factor analysisMulti-group content validityMulti-group EFAMultilevel CFAMultilevel Convergent ValidityMultilevel Differential Item FunctioningMultilevel Measurement InvarianceOrdinal CFAOrdinal Convergent ValidityOrdinal Differential Item FunctioningOrdinal Measurement InvarianceOrdinal Rasch ModelPolytomous Confirmatory Factor AnalysisPolytomous DIFPolytomous Measurement InvariancePolytomous Rasch ModelRobust Differential Item FunctioningRobust Measurement InvarianceShort form construct validityShort form differential item functioningShort Form Measurement InvarianceShort form Rasch modelShort-Form CFAShort-Form IRTShort-Form Scale DevelopmentTest-Retest Reliability