Date(s) - 12/07/2018 - 12/08/2018
9:00 am - 5:00 pm
Temple University Center City
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.
If you plan to analyze cross-sectional or longitudinal data and believe that there are meaningful subgroups of individuals characterized by the intersection of multiple characteristics, this seminar is for you. Participants should have a good working knowledge of the principles and practice of multiple regression; familiarity with logistic regression is helpful.
The course does have a fee of $995, which includes all the course material. There is a early registration fee available until November 7. CLICK HERE to register for the course.
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