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| Mô hình Tín dụng Bộ phận (PCM / GPCM)× | Mô hình Đáp ứng theo Bậc (Graded Response Model - GRM)× | |
|---|---|---|
| Lĩnh vực | Trắc lượng tâm lý | Trắc lượng tâm lý |
| Họ | Latent structure | Latent structure |
| Năm ra đời≠ | 1982 | 1969 |
| Người khởi xướng≠ | Geoff N. Masters (PCM, 1982); Eiji Muraki (GPCM, 1992) | Fumiko Samejima |
| Loại≠ | Item Response Theory / Polytomous IRT | Item response theory / polytomous IRT model |
| Công trình gốc≠ | Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174. DOI ↗ | Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17. link ↗ |
| Tên gọi khác≠ | Kısmi Kredi Modeli (PCM / GPCM), Generalized Partial Credit Model, GPCM, PCM | Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model |
| Liên quan≠ | 5 | 7 |
| Tóm tắt≠ | 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. | The Graded Response Model is an item response theory model developed by Fumiko Samejima in 1969 for ordered polytomous items such as Likert-type scales. It estimates both the discriminating power of each item and a set of threshold parameters marking the boundaries between adjacent response categories, while simultaneously placing persons on a continuous latent trait scale. |
| ScholarGateBộ dữ liệu ↗ |
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