With the increasing availability of longitudinal data, researchers need to decide the best models for their data.
A wide variety of models have been proposed, many of which are available using Structural Equation Models (SEM). This course will review some of the major longitudinal SEMs. Among others this will include autoregressive/crosslag models, latent growth curve models, and Autoregressive Latent Trajectory (ALT) models. The workshop will present each type of model and illustrate their estimation and fit with empirical data.
Some knowledge of SEMs is assumed.
Ken A. Bollen is the Henry Rudolph Immerwahr Distinguished Professor in the Department of Sociology and the Department of Psychology and Neuroscience at UNC at Chapel Hill. He is a faculty member in the Quantitative Psychology Program in the Thurstone Psychometric Laboratory. He also is chair of the Methods Core and a Fellow of the Carolina Population Center and a Faculty member of the Center for Developmental Science. Since 1980 he has been an instructor in the ICPSR Summer Program in Quantitative Methods of Social Research. Bollen's primary areas of statistical research are in structural equation models, longitudinal methods, and latent growth curve models.
E-Mail an Johannes Nostadt (email@example.com)