Latent Profile Analysis
Learn how to use Mplus to analyze, interpret, and report latent profile models in Christian Geiser’s on-demand course
In this self-paced online workshop, Dr. Christian Geiser provides in-depth tutorials on analyzing and interpreting latent profile models in Mplus. With crystal clear hands-on lessons, he'll take you through each step of performing LPA, from writing syntax to interpreting output, all the way to reporting the results. Use the dropdown menu below to see what’s included in this 4-day course:
Welcome to this course!FREE PREVIEW
Handouts and References
Introduction to Latent Profile Analysis (LPA)
Formal details on LPA
Getting Started with the Mplus Syntax
Mplus Output for an LPA
How to Export LPA Profile Plot Data
Saving Class Membership Information
Avoiding Local Likelihood Maxima in LPA
Model Selection Part 1: Information Criteria
Model Selection Part 2: Bootstrap Likelihood Ratio (Difference) Test
Model Selection Part 3: Other Criteria
Alternative Covariance Structures in LPA
Testing Mean Differences Across Classes
Introduction to Multigroup LPA
Multigroup LPA in Mplus Part 1: Mplus Default Model
Multigroup LPA in Mplus Part 2: Configural Measurement Equivalence Model
Multigroup LPA in Mplus Part 3: Models with Parameter Equality Constraints
Multigroup LPA in Mplus Part 4: Model Comparisons
Introduction to the Analysis of Covariates
Review Logistic Regression Analysis
Covariate Analysis in Mplus: 2 Classes, Binary Covariate
Covariate Analysis in Mplus: 3 Classes, Binary Covariate
Covariate Analysis in Mplus: 3 Classes, Continuous Covariate
Including an Outcome Variable of Class Membership
Thank You and Final Tips
Dr. Christian Geiser
Dr. Christian Geiser is the Director of Education at Quantfish, former professor of quantitative psychology, and author of two books on Mplus. As a leader in the development of latent variable techniques with complex data, he has helped thousands of researchers and students around the world to achieve their analytic goals. This course is a part of a companion series of workshops to his books and articles.
Latent Profile Analysis with Mplus is open for immediate access
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Group licenses provide the lowest per-person cost.
Further discounts are available for researchers working in LMICs; apply here to get started.
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This course is for learners with a foundational knowledge of regression analysis. Prior Mplus experience 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. Latent Profile Analysis with Mplus is backed by a complete money-back guarantee for 7 days following the start of the course.