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Ordinal Measurement Invariance

Ordinal measurement invariance testing evaluates whether a multi-group confirmatory factor model holds equivalent measurement properties across groups when scale items are ordinal — such as Likert-type response scales. It uses polychoric correlations and categorical estimators (WLSMV/DWLS) rather than Pearson-based methods, correcting the systematic bias that arises when ordinal data are treated as continuous.

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Ordinal Measurement Invariance Testing

Taksonoomiline meetodikirje · latent-structure / psychometrics

Millsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. · ISBN 978-1848728936
Muthén, B. O. (1984). A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators. Psychometrika, 49(1), 115–132. · DOI 10.1007/BF02294210

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Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDifferential Item Functioningmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketItem Response Theorymachine-suggested · Relational suggestion, not evidence.Same method familyMeasurement Invariancemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-group confirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinal CFAmachine-suggested · Relational suggestion, not evidence.