Generalized Latent Variable Modeling


 Organizer Jeroen K. Vermunt
 Venue Tilburg University
 Mandatory/elective Elective
 Abstract This two-day intensive course introduces you to the most recent developments in the field of latent variable modelling. Techniques that were originally developed fully separate from one another turn out to be special cases of the broad family of generalized latent variable models (GLVMs). This family includes latent class analysis, finite mixture models, factor analysis, item response theory (IRT) models, multilevel models, panel regression models, as well as models for dealing with missing data and selection bias. Recently, interesting hybrids combining elements of these special cases have been proposed, such as mixture factor analysis and IRT and multilevel variants of latent class analysis and IRT models.
 Examination Attendance to the lectures and computer practical