Many-Facet Rasch Measurement
Many-facet Rasch measurement (MFRM) extends the basic Rasch model to assessments mediated by raters. Beyond examinee ability and item difficulty, it adds explicit parameters for rater severity and for any other facet of the rating situation — task, occasion, rating criterion — placing them all on one common logit scale. Developed by John Michael Linacre, MFRM lets analysts estimate and adjust for the fact that some raters are systematically harsh and others lenient, producing 'fair' ability estimates that do not penalize an examinee for happening to draw a severe judge.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Linacre, J. M. (1989). Many-Facet Rasch Measurement. MESA Press. · ISBN 9780941938020
- Engelhard, G., & Wind, S. A. (2018). Invariant Measurement with Raters and Rating Scales: Rasch Models for Rater-Mediated Assessments. Routledge. · ISBN 9781848725812
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.