Multilevel Modeling with Mplus
Learn how to analyze nested data with Christian Geiser's on-demand course—no Mplus experience required
In this self-paced online workshop, Dr. Christian Geiser provides in-depth tutorials on analyzing and interpreting multilevel models in Mplus. Here's what's included in the course:
Multilevel regression analysis
Grand mean and group mean centering
Longitudinal growth models as multilevel regression models
Multilevel confirmatory factor models
Dr. Christian Geiser
Dr. Christian Geiser is a Professor of Quantitative Psychology at Utah State University, author of two books on Mplus, and a leader in the development of latent variable techniques for complex data. With his accessible books and sought-after workshops, he has helped thousands of researchers and students around the world to achieve their analytic goals. Multilevel Modeling with Mplus is part of a companion series of workshops to his books.
Multilevel Modeling with Mplus uses Christian Geiser's video-based instruction in combination with associated datasets, syntax, and a workbook to form a solid foundation for performing a variety of multilevel modeling techniques. The course is broken into 13 sessions that can be completed in about 3 days, though the timing in which you work through the course is entirely up to you. Keep scrolling to learn more about what to expect:
Day 1 |
Day 2 |
Day 3 |
-Data preparation in SPSS and importing into Mplus -BASIC analysis -Standard OLS linear regression in Mplus -TWOLEVEL BASIC analysis: obtaining cluster information, intraclass correlations, and twolevel descriptives in Mplus -Intercept-only model -Means-as-outcomes model |
-One-way random effects ANCOVA model -Random coefficient regression model -Multilevel regression with random intercepts & slopes and Level-1 and Level-2 predictors -Analyzing cross-level interactions -Grand-mean and group-mean centering |
-Wide-to-long data transformation in Mplus -Longitudinal models as multilevel models: random intercept and latent growth curve models -Multiple-indicator longitudinal models as multilevel confirmatory factor models: latent state-trait and indicator-specific growth models -multilevel confirmatory factor analysis of cross-sectional data |
Absolutely. You can engage in the full curriculum using only the demo version of Mplus, which is FREE. Dr. Geiser will provide instructions about getting the demo installed on your computer.
This course is for learners with a basic understanding of single-level regression and confirmatory factor analysis. A working understanding of the Mplus software is helpful, but not required. Need a beginner-focused course? Mplus from Scratch gives you everything you need to be ready for this course.
We understand completely! The timing is entirely up to you. Once you enroll and the course has launched, you will have unlimited access to the content. You are free to pause and return to your lessons as needed.
Unfortunately, personal feedback is not possible given the volume of researchers we serve. We are certain that Dr. Geiser's thorough approach to guiding you through every step of using Mplus, along with the helpful handouts and guides included in the course, will enable you to successfully perform multilevel modeling techniques with your own data. Note that we are always happy to help you navigate any technical issues related to the course itself.
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QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. Multilevel Modeling with Mplus is backed by a complete money-back guarantee for 7 days following the start of the course.