방법 비교

	GRM	잠재계층분석 (Latent Class Analysis, LCA)
분야	심리측정학	통계학
계열	Latent structure	Latent structure
기원 연도	1969	1950
창시자	Fumiko Samejima	Paul F. Lazarsfeld
유형	Item response theory / polytomous IRT model	Latent variable / probabilistic clustering
원전	Samejima, F. (1969). Estimation of Latent Ability Using a Response Pattern of Graded Scores. Psychometrika Monograph Supplement, No. 17.	Hagenaars, J. A. & McCutcheon, A. L. (Eds.) (2002). Applied Latent Class Analysis. Cambridge University Press. ISBN: 978-0521594516
별칭	Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model	Gizil Sınıf Analizi (LCA), latent class model, latent structure analysis
관련	7	3
요약	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.	Latent class analysis is a probabilistic model-based clustering technique that identifies unobserved subgroups — latent classes — within a population on the basis of patterns of categorical, binary, or ordinal indicator responses. Originating in sociological measurement theory with Lazarsfeld's latent structure work around 1950 and formalised computationally by Goodman in the 1970s, it is widely used in the social, health, and behavioural sciences to reveal hidden population heterogeneity.