Class: Latent Class Analysis

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Date(s) - 11/11/2016 - 11/12/2016
12:00 am


This Statistical Horizons class, Latent Class Analysis, taught by Stephanie Lanza, Ph.D., runs from November 11-12 in Philadelphia, Pennsylvania.

Latent Class Analysis (LCA) is an intuitive and rigorous tool for uncovering hidden subgroups in a population. It can be viewed as a special kind of structural equation modeling in which the latent variables are categorical rather than continuous. This two-day seminar will give you the theoretical background and applied skills to address interesting research questions using LCA. You will also be introduced to latent transition analysis (LTA), a longitudinal extension of latent class analysis.

Other topics include model interpretation, model selection, model identification, multiple-groups LCA, measurement invariance across groups, LCA with covariates and distal outcomes. The seminar will combine lectures, software demonstrations, computer exercises, and discussion. There will be opportunities for participants to discuss how LCA and LTA can be applied in their own research.

The fee of $995 includes all course materials.

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