Compara mètodes

	Model de Resposta Graduada (GRM)	Anàlisi de Classes Latents (LCA)
Camp	Psicometria	Estadística
Família	Latent structure	Latent structure
Any d'origen	1969	1950
Autor original	Fumiko Samejima	Paul F. Lazarsfeld
Tipus	Item response theory / polytomous IRT model	Latent variable / probabilistic clustering
Font seminal	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
Àlies	Samejima's GRM, Derecelendirilmiş Tepki Modeli (GRM), graded IRT model	Gizil Sınıf Analizi (LCA), latent class model, latent structure analysis
Relacionats	7	3
Resum	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.