Latent Class Analysis
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filed under:
LCA
Latent class analysis (LCA) is a multivariate technique which can be applied to cluster analysis, factor analysis, or regression analysis. Latent constructs are created from indicator variables, as in structural equation modeling, and then used to construct clusters, factors, or to predict dependents in regression mode.
PSU Methodology Center -- Latent Class Analysis Resources
You can learn about LCA and LTA in this introduction and by reading material listed in a bibliography. In addition, answers to frequently asked questions are available.
