Podcast: Latent Class Analysis (LCA) Part 2: Extensions of LCA
January 22, 2012
In our latest podcast, Center researchers Stephanie Lanza and Bethany Bray discuss extensions of LCA with host Aaron Wagner. Topics include LCA with grouping variables and covariates, latent transition analysis, causal inference in LCA, and LCA with a distal outcome. This is the second part of a two-part podcast; part 1 provides an introduction to LCA.
Lanza, S. T., & Collins, L. M. (2008). A new SAS procedure for latent transition analysis: Transitions in dating and sexual behavior. Developmental Psychology, 42(2), 446-456. PMCID: PMC2846549
Lanza, S. T., Coffman, D. L., & Xu, S. (in press). Causal inference in latent class analysis. Structural Equation Modeling: A Multidisciplinary Journal.
Lanza, S. T., Tan, X., & Bray, B. C. (2013). Latent class analysis with distal outcomes: A flexible model-based approach. Structural Equation Modeling: A Multidisciplinary Journal. Advance online publication. doi: 10.1080/10705511.2013.742377 PMC Journal- In progress
Bray, B. C., Lanza, S. T., & Tan, X. (2012). An introduction to eliminating bias in classify-analyze approaches for latent class analysis (Technical Report No. 12-118). University Park, PA: The Methodology Center, The Pennsylvania State University.