विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| पॉलिटोमस राश मॉडल× | क्रमिक आइटम प्रतिक्रिया सिद्धांत× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1978–1982 | 1969 |
| प्रवर्तक≠ | Gerhard N. Masters (Partial Credit Model); David Andrich (Rating Scale Model) | Fumiko Samejima (Graded Response Model, 1969); Gerhard Fischer & Georg Rasch lineage for partial credit |
| प्रकार≠ | Item response model | Probabilistic latent trait model for ordered polytomous responses |
| मौलिक स्रोत≠ | 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, 34(4, Pt. 2), 1–97. link ↗ |
| उपनाम | PRM, Rating Scale Model, Partial Credit Model, Polytomous IRT Rasch | polytomous IRT, ordinal IRT models, graded response models, ordinal latent trait models |
| संबंधित | 6 | 6 |
| सारांश≠ | The Polytomous Rasch Model extends the dichotomous Rasch framework to ordered response scales with three or more categories, such as Likert items or partial-credit tasks. It estimates person ability and item difficulty on the same interval-level logit scale, and it tests whether the response categories function as intended — prerequisites for rigorous ordinal measurement. | 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. |
| ScholarGateडेटासेट ↗ |
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