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Equivalence Set Restricted Latent Class Models (ESRLCM)

5 June 2024
Jesse Bowers
Steve Culpepper
    BDL
ArXiv (abs)PDFHTML
Abstract

Latent Class Models (LCMs) are used to cluster multivariate categorical data, commonly used to interpret survey responses. We propose a novel Bayesian model called the Equivalence Set Restricted Latent Class Model (ESRLCM). This model identifies clusters who have common item response probabilities, and does so more generically than traditional restricted latent attribute models. We verify the identifiability of ESRLCMs, and demonstrate the effectiveness in both simulations and real-world applications.

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