Latent Class Analysis
with Mplus
Christian Geiser's on-demand course in mixture modeling techiques—no Mplus experience required
In this self-paced online workshop, Dr. Christian Geiser provides in-depth tutorials on analyzing and interpreting a variety of latent class models in Mplus. With crystal clear hands-on lessons, he'll take you through each step of performing mixture analyses, from writing syntax to interpreting output, all the way to writing up the results for publications. Here's what's included in the course:
Classical latent class analysis with categorial indicators
Analysis of covariates in mixture models
Multigroup LCA and measurement equivalence testing
Introduction to latent profile analysis, latent transition analysis, and growth mixture modeling
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. Latent Class Analysis with Mplus is part of a companion series of workshops to his books and articles.
Latent Class Analysis with Mplus is available for your immediate use. Individual and lab license purchases include lifetime access to course materials.
Please contact us if you need an invoice prior to purchase, have a larger group, or to pay by electronic bank transfer. We can customize invoices for any institution, anywhere in the world.
Latent Class Analysis 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 mixture modeling techniques. The course is broken into 16 sessions that can be completed in about 4 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 | Day 4 |
Introduction to classical LCA Introduction of data example Data preparation in SPSS Introduction to Mplus, data import |
How does LCA work? – Technical details Goodness of fit assessment and model selection |
Analysis of covariates through logistic regression Multigroup LCAMeasurement equivalence testing |
Latent profile analysis Latent transition analysis Growth mixture modeling Reporting results |
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 categorical data 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.
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. Latent Class Analysis with Mplus is backed by a complete money-back guarantee for 7 days following the start of the course.