เปรียบเทียบวิธี

	แบบจำลองการให้คะแนนบางส่วน (Partial Credit Model - PCM / GPCM)	ทฤษฎีการตอบสนองข้อสอบ (IRT)
สาขาวิชา	การวัดทางจิตวิทยา	การวัดทางจิตวิทยา
ตระกูล	Latent structure	Latent structure
ปีกำเนิด	1982	1952–1968
ผู้ริเริ่ม	Geoff N. Masters (PCM, 1982); Eiji Muraki (GPCM, 1992)	Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models)
ประเภท	Item Response Theory / Polytomous IRT	Probabilistic measurement model
แหล่งต้นตำรับ	Masters, G. N. (1982). A Rasch model for partial credit scoring. Psychometrika, 47(2), 149–174.	Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley.
ชื่อเรียกอื่น	Kısmi Kredi Modeli (PCM / GPCM), Generalized Partial Credit Model, GPCM, PCM	IRT, latent trait theory, item characteristic curve theory, modern test theory
ที่เกี่ยวข้อง	5	5
สรุป	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.	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.