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| Lý thuyết Đáp ứng Mục (Ordinal IRT)× | Lý thuyết Ứng đáp Câu hỏi (IRT)× | |
|---|---|---|
| Lĩnh vực | Trắc lượng tâm lý | Trắc lượng tâm lý |
| Họ | Latent structure | Latent structure |
| Năm ra đời≠ | 1969 | 1952–1968 |
| Người khởi xướng≠ | Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| Loại≠ | Probabilistic latent trait model for ordered polytomous responses | Probabilistic measurement model |
| Công trình gốc≠ | Samejima, F. (1969). Estimation of latent ability using a response pattern of graded scores. Psychometrika Monograph Supplement, 34(4, Pt. 2), 1–97. link ↗ | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| Tên gọi khác | polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| Liên quan≠ | 6 | 5 |
| Tóm tắt≠ | Ordinal item response theory (ordinal IRT) comprises a family of probabilistic models — most notably the Graded Response Model and the Partial Credit Model — that relate a respondent's standing on a latent trait to the probability of choosing each ordered response category on a polytomous item. It extends classical IRT beyond dichotomous items to the Likert-type and rating-scale items that dominate psychometric measurement. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
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