Latent structure

Partial Credit Model (PCM / GPCM)

The Partial Credit Model is an extension of the Rasch measurement framework designed for ordered polytomous items — items whose responses fall into more than two ordered categories, such as partial-credit tasks in performance assessment or open-ended scoring rubrics. Proposed by Geoff Masters in 1982 and later generalised by Eiji Muraki in 1992, the model estimates a separate threshold (step) parameter for each adjacent-category transition within every item, allowing fine-grained calibration of how much each additional credit level contributes to locating a person on the latent trait.

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Sources

  1. Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. DOI: 10.1007/BF02296272
  2. Muraki, E. (1992). A generalized partial credit model: Application of an EM algorithm. Applied Psychological Measurement, 16(2), 159–176. DOI: 10.1177/014662169201600206

Related methods

Referenced by

ScholarGatePCM / GPCM (Partial Credit Model). Retrieved 2026-06-04 from https://scholargate.app/en/psychometrics/partial-credit-model