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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Avoti
- 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 ↗
- Lazarsfeld, P. F. & Henry, N. W. (1968). Latent Structure Analysis. Houghton Mifflin. link ↗
Kā citēt šo lapu
ScholarGate. (2026, June 3). Latent Class Analysis. ScholarGate. https://scholargate.app/lv/statistics/latent-class-analysis
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- Klasteru analīzeStatistika↔ compare
- Apstiprinošā faktoru analīze (AFA)Psihometrija↔ compare
- Lineārā diskriminantā analīzeStatistika↔ compare
- Eksploratīvā faktoru analīze (EFA)Statistika↔ compare
- Latent Profile Analysis (LPA)Psihometrija↔ compare
- Jaukto sadalījumu modelēšanaStatistika↔ compare
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