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.
阅读完整方法
使用免费账户登录即可阅读本节。
方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- 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
如何引用本页
ScholarGate. (2026, June 22). Many-Facet Rasch Measurement for Rater-Mediated Assessment. ScholarGate. https://scholargate.app/zh/education/many-facet-rasch-measurement
选用哪种方法?
将本方法与其最相近的同类并置,并排研读——本馆将书籍铺陈于案上,取舍则由您定夺。
- 概化理论(G-Theory)心理测量学↔ 比较
- Portfolio AssessmentEducation↔ 比较
- Rasch 模型心理测量学↔ 比较
- Rubric DevelopmentEducation↔ 比较