Latent Class Analysis
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 the Director of Education at QuantFish, 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 immediate access. Please contact us if you need an invoice prior to purchase or have a larger group.
Payment is accepted by credit card, Paypal, or bank transfer (euros & GPB). Bank transfer instructions are here.
Group licenses provide the lowest per-person cost.
Further discounts are available for researchers working in LMICs; apply here to get started.
Individual: Student/Post Doc
Group | Up to 6 participants
Bank transfers are accepted in euros and GBP. Please contact us if your bank is outside of the EU, SEPA, or UK.
Kindly allow 3 business days for payment to post.
euros (EU & SEPA only)
|GBP (UK only)|
Account holder: QuantFish LLC
IBAN: BE20 9672 6025 0356
Avenue Louise 54, Room S52
Account holder: QuantFish LLC
Sort code: 23-14-70
Account number: 87960744
56 Shoreditch High Street, London E1 6JJ, United KingdomRequired notes:
Contact us so we can help with invoicing.
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 regressionMultigroup LCA
Measurement equivalence testing
Latent profile analysis
Latent transition analysis
Growth mixture modeling
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.
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.
New courses are always coming! Add your email to our list to get the latest updates.
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.