Latent structureScale / measurement

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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Sources

  1. 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. DOI: 10.1037/1082-989X.9.2.200
  2. 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

Related methods

ScholarGatePolytomous Measurement Invariance (Polytomous Measurement Invariance Testing). Retrieved 2026-06-04 from https://scholargate.app/en/psychometrics/polytomous-measurement-invariance