Statistical Methods Course Description
Overview: 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 five 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 Mplus deals with non-normal and categorical data and how to bootstrap in Mplus. The third day covers more advanced topics that are introduced briefly (e.g. latent growth curve models, latent class analysis, latent growth mixture analysis). The available choices of different estimation methods and statistical tests are also discussed. The fourth day covers Bayesian statistics. On the fifth day we discuss some new ways of testing measurement invariance using Bayesian statistics: a comparison of full, partial and approximate measurement invariance.
On each day, the morning session consists of lectures, and the afternoon session is a computer lab where the topics of the morning are applied on example data (from 9:00 a.m. to 5:00 p.m. each day). During the computer labs there is plenty of 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.
If you need to analyze your data in Mplus or if you want to know when to switch to Mplus, this course is for you. You should have some (basic) experience with other SEM software, for example AMOS, LISREL, openMX, SAS. No previous knowledge of Mplus is assumed. You do not need to know matrix algebra, calculus, or likelihood theory, or any knowledge on Bayesian statistics. Participants from a variety of fields, including sociology, psychology, education, human development, marketing, business, biology, medicine, political science, and communication, will benefit from the course.
Go to the Stats Camp website to download course files for those who have enrolled in the course. Please download these files onto your computer before the first day of the course. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.
After June 6th: Click Here to Access SEM with MPLUS Course Files