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 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.
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:
|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
I don't have access to Mplus. Can I still benefit from this course?
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.
What level of statistical training is required for the course?
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.
There is no way that I will be able to set aside the four days required to take this course. Is the timing flexible?
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.
Will you give me feedback on my analyses?
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.
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.