विधियों की तुलना करें

	क्रमिक प्रतिक्रिया मॉडल (GRM)	अव्यक्त वर्ग विश्लेषण (LCA)
क्षेत्र	मनोमिति	सांख्यिकी
परिवार	Latent structure	Latent structure
उद्भव वर्ष	1969	1950
प्रवर्तक	Fumiko Samejima	Paul F. Lazarsfeld
प्रकार	Item response theory / polytomous IRT model	Latent variable / probabilistic clustering
मौलिक स्रोत	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
उपनाम	Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model	Gizil Sınıf Analizi (LCA), latent class model, latent structure analysis
संबंधित	7	3
सारांश	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.