Multitrait-Multimethod
& Multirater Analysis
in Mplus
Learn how to analyze, interpret, and report MTMM models with Christian Geiser's intensive workshop
Including multiple raters and/or multiple methods (e.g. parent, child, and teacher reports of child anxiety) in research questions is strongly encouraged in the social and behavioral sciences, but many investigators have difficulty specifying them in their statistical models. In this self-paced online workshop, Dr. Christian Geiser teaches you theory-driven approaches to analyze, interpret and report multitrait-multimethod (MTMM) models in Mplus. Here’s what’s included in the course:
Construct validation through confirmatory factor analysis (CFA) MTMM models
Measurement equivalence testing across raters
Comparing latent means, variances, covariances, and correlations across raters
Modeling different types of raters
Dr. Christian Geiser
Dr. Christian Geiser is a former Professor of Quantitative Psychology, 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. This course is part of a companion series of workshops to his books and articles.
Tax-exempt institutions in the United States, please start here.
MTMM & Multirater Analysis in Mplus is available to start immediately. Individual and lab license purchases include lifetime access to course materials.
Please contact us if you need an invoice prior to purchase or have a larger group. We can customize invoices for any institution, anywhere in the world.
MTMM & Multirater Analysis in 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 MTMM analyses. The course is broken into 15 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 |
- Introduction to construct validation; convergent and discriminant validity
- Campbell and Fiske's (1959) classical MTMM matrix approach
- Limitations of the classical MTMM approach
- Introduction to confirmatory factor analysis (CFA) of MTMM data
- Single-indicator CFA-MTMM models
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- Introduction to multiple-indicator CFA-MTMM models
- Basic CFA-MTMM measurement models for multiple indicators
- Estimating a latent MTMM matrix
- The CT-C(M - 1) approach for structurally different methods
- Measurement equivalence testing across raters
- Comparing latent means, variances, covariances, and correlations across raters
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- Structurally different versus interchangeable methods - Models for interchangeable raters - Other CFA-MTMM models - General tips for MTMM analyses |
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 foundational knowledge of 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 workshop.
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.
Dr. Geiser is happy to answer questions related to course content and Quantfish promptly resolves any technical issues related to the course platform. If you are interested in personal consultation on your own data, please contact us to get started.
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QuantFish is dedicated to providing courses that improve your analytic skills with accessible lessons from the world's leading methodologists. MTMM & Multirater Analysis in Mplus is backed by a complete money-back guarantee for 7 days following the start of the course.