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Partial credit model: Estimations and tests of fit with pcmodel

Author

Listed:
  • Jean-Francois Hamel

    (University Hospital of Angers)

  • Veronique Sebille

    (University Hospital of Nantes)

  • Gaelle Challet-Bouju

    (University Hospital of Nantes)

  • Jean-Benoit Hardouin

    (University Hospital of Nantes)

Abstract

The partial credit and rating scale models are classical models from item response theory; they belong to the generalized linear latent and mixed model family and allow one to analyze questionnaires such as patient-reported outcomes. Few goodness-of-fit testing procedures have been proposed for such models, and few computer programs implement such tests. Here we describe two tests: the R1m test (which tests the overall adequacy of the model to the data) and the Si test (which evaluates the contribution of each item to a possible lack of fit). We also propose two commands: pcmodel, which implements partial credit or rating scale models, and pcmtest, which tests the adequacy of such models to the data.

Suggested Citation

  • Jean-Francois Hamel & Veronique Sebille & Gaelle Challet-Bouju & Jean-Benoit Hardouin, 2016. "Partial credit model: Estimations and tests of fit with pcmodel," Stata Journal, StataCorp LP, vol. 16(2), pages 464-481, June.
  • Handle: RePEc:tsj:stataj:y:16:y:2016:i:2:p:464-481
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