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Latent structureMultivariate analysis

Robust Latent Class Analysis

Robust latent class analysis (robust LCA) utvider standard latent class-modell ved å inkludere estimeringsteknikker som er motstandsdyktige mot uteliggere — slik som trimmed likelihood, M-estimering eller nedvekting — slik at atypiske responser ikke forvrenger den gjenvunnede klasstrukturen eller sannsynlighetene for medlemskap i klasser.

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Kilder

  1. Hennig, C. (2004). Breakdown points for maximum likelihood estimators of location-scale mixtures. Annals of Statistics, 32(4), 1313–1340. DOI: 10.1214/009053604000000571
  2. Vermunt, J. K., & Magidson, J. (2004). Latent class models. In D. Kaplan (Ed.), The Sage Handbook of Quantitative Methodology for the Social Sciences (pp. 175–198). Sage. link

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ScholarGate. (2026, June 3). Robust Latent Class Analysis. ScholarGate. https://scholargate.app/no/statistics/robust-latent-class-analysis

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ScholarGateRobust Latent Class Analysis (Robust Latent Class Analysis). Hentet 2026-06-15 fra https://scholargate.app/no/statistics/robust-latent-class-analysis · Datasett: https://doi.org/10.5281/zenodo.20539026