March 21, 2018
Mplus Course at AERA, April 12, 2009, San Diego, CA
AERA Professional Development and Training Courses at 2009 Annual Meeting in San Diego
PDC02. Cross-Sectional and Longitudinal Analyses With Categorical Latent Variables
Instructors: Katherine Masyn, University of California, Davis
Sunday, April 12, 2009, 9am-5pm
Traditional Latent Class Analysis (LCA) models the dependencies among observed categorical variables through an underlying latent categorical variable. There are many extensions of LCA that permit other indicator modalities, such as observed continuous and count outcomes, in addition to enabling the investigation of antecedents and consequences of latent class membership. These approaches are often termed "person-centered" analyses in contrast to the "variable-centered" analyses of conventional factor and SEM models. This course will provide participants with an introduction to cross-sectional analyses with categorical latent variables, beginning with LCA and latent class cluster analysis, and will then explore some longitudinal extensions, including latent transition analysis. Specification and estimation of all models in the Mplus V5.2 software will be demonstrated throughout.
Click here for further information on this course.