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Latent structureMultivariate analysis

Latent Class Analysis (LCA)

Latent class analysis identifies unobserved subgroups — latent classes — within a population by finding patterns of responses across a set of categorical observed indicators. It is the categorical-variable counterpart of cluster analysis, but grounded in an explicit probabilistic model, and is widely used in social, health, and behavioral sciences to discover typologies in survey or diagnostic data.

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  1. Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61(2), 215–231. DOI: 10.1093/biomet/61.2.215
  2. Lazarsfeld, P. F. & Henry, N. W. (1968). Latent Structure Analysis. Houghton Mifflin. link

Kuidas sellele lehele viidata

ScholarGate. (2026, June 3). Latent Class Analysis. ScholarGate. https://scholargate.app/et/statistics/latent-class-analysis

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ScholarGateLatent Class Analysis (Latent Class Analysis). Loetud 2026-06-15 aadressilt https://scholargate.app/et/statistics/latent-class-analysis · Andmestik: https://doi.org/10.5281/zenodo.20539026