Latent Class Analysis

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Date/Time
Date(s) - 12/08/2017 - 12/09/2017
9:00 am - 5:00 pm

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Statistical Horizons is proud to host one of its last two day seminars of the year on December 8-9. The seminar will by taught Dr. Stephanie Lanza and is available to all who have good knowledge on multiple regression theory and who plan to analyze cross-sectional or longitudinal data.

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, a longitudinal extension of latent class analysis. Other topics include model interpretation, model selection, model identification, multiple-groups LCA, measurement in-variance 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.

To register for the early registration fee of $895 please register before November 8. To register click HERE.

To learn more information about the course including material and lodging if out of city or state click HERE.

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