Statistical Methods Course Description
More and more researchers in the social and behavioral sciences use, or want to use, Mplus to analyze their structural equation models. This stats camp course is a 2.5-day workshop on using Mplus.
The course starts with an introduction of structural equation modeling with some emphasis on the specific way Mplus is used to specify and estimate models and how to deal with error messages. The second day introduces multigroup models, how to deal with Mplus defaults, and testing mediation using bootstrapping in Mplus. The third day covers more advanced topics that are introduced briefly (e.g. how Mplus deals with non-normal, categorical data, and longitudinal data). The third day also provides time for an additional topic based on camper request (i.e. MLM, Power Analysis, etc.). The available choices of different estimation methods and statistical tests are also discussed.
On each day, the morning session consists of mini-lectures and examples, and the afternoon session is a computer lab where the topics of the morning are applied on example data. There will also be time to work on your own data and get feedback on your models.
Instructor: Elizabeth Grandfield
Elizabeth is a doctoral student in Quantitative Psychology at the University of Kansas. Her research focuses on evaluating measurement invariance with an emphasis in longitudinal designs. In areas of applied research, Elizabeth has been involved in longitudinal children studies at Juniper Gardens as well as a national nursing study at Kansas University Medical Center, both in Kansas City. She also received the 2011 Multivariate Software Award, presented by Peter Bentler and Eric Wu. Elizabeth has been involved in Stats Camp since 2012.