قارن الطرق

	تحليل الفئات الكامنة (LCA)	التحليل العاملي الاستكشافي (EFA)
المجال	الإحصاء	الإحصاء
العائلة	Latent structure	Latent structure
سنة النشأة	1950	—
صاحب الطريقة	Paul F. Lazarsfeld	—
النوع	Latent variable / probabilistic clustering	Latent variable / dimension reduction
المصدر التأسيسي	Hagenaars, J. A. & McCutcheon, A. L. (Eds.) (2002). Applied Latent Class Analysis. Cambridge University Press. ISBN: 978-0521594516	Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299.
الأسماء البديلة	Gizil Sınıf Analizi (LCA), latent class model, latent structure analysis	common factor analysis, açımlayıcı faktör analizi, factor analysis
ذات صلة	3	4
الملخص	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.	Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance.