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Polytomous Measurement Invariance/Evidence
Method evidence record

Polytomous Measurement Invariance

Polytomous measurement invariance testing evaluates whether a scale with ordered categorical (polytomous) response options — such as Likert-type items — measures the same latent construct in the same way across two or more groups. It extends classical multi-group CFA invariance testing to properly account for the ordinal nature of item responses, ensuring that group comparisons of latent means or factor structures are substantively valid.

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Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Polytomous Measurement Invariance Testing
Taxonomic method record · latent-structure / psychometrics
  • Millsap, R. E. & Kwok, O.-M. (2004). Evaluating the impact of partial factor loading and intercept invariance on selection utility. Psychological Methods, 9(2), 200–215. · URL
  • 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
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketConfirmatory factor analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDifferential Item Functioningmachine-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 bucketPolytomous Confirmatory Factor Analysismachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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