Mixture Modeling
June 4-6, 2018
Dr. Eric Loken
This 3-day mixture modeling workshop will survey techniques for exploring heterogeneous latent structure in data. We will begin by defining a variety of mixture models. The main focus will be on latent class analysis (LCA) and latent profile analysis (LPA), with applications in health and education. Additional models will include mixture regression models, mixture IRT, k-means clustering, and growth mixture models for longitudinal data. The course will emphasize hands-on work by participants, who will also be encouraged to make connections to their own data, learning to execute many of these models in R. Particular attention will be paid to issues that arise in applied settings including model assumptions, parameter estimation, and interpretation.
Registration is now open. Go to www.datic.uconn.edu for more information and to register for the workshops. Please register early, as the workshops tend to fill quite quickly.
For more information, contact: Betsy at betsy@uconn.edu