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Testning av invarians för ordinala mätningar×Testning av mätinvarians×
ÄmnesområdePsykometriPsykometri
FamiljLatent structureLatent structure
Ursprungsår1984–20112000
UpphovspersonRoger Millsap; Bengt MuthénVandenberg & Lance
TypMulti-group model comparisonMulti-group confirmatory factor analysis procedure
UrsprungskällaMillsap, R. E. (2011). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗
Aliasordinal MI, measurement invariance for ordinal data, ordinal CFA invariance, categorical measurement invarianceFactorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Närliggande63
SammanfattningOrdinal 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.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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ScholarGateJämför metoder: Ordinal Measurement Invariance · Measurement Invariance. Hämtad 2026-06-20 från https://scholargate.app/sv/compare