Expert Training in Mplus.
From Anywhere, Any Time.

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

Meet Your Instructor

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.   


Pricing

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.

Course Details

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 LCA 
 
Measurement equivalence testing

Latent profile analysis

Latent transition analysis

Growth mixture modeling

Reporting results


FAQ

  • 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.

How the Course Works

Follow these steps to get started:

  • 1. Enroll in the Course

    You will receive a payment receipt by email from QuantFish and instructions for accessing your Student Dashboard. Latent Class Analysis is available to start immediately.

  • 2. Start Learning

    Begin the course when the time is right for you. Visit your student dashboard, click on the course, and watch Dr. Geiser's introductory video to get started. Subsequent lessons are shown to you in sequential order, along with the PDF resources. Plan on each day (module) to take about three hours, plus practice time. At the completion of the course, we will provide a certificate of completion that you can use for your own professional needs.

  • 3. Share Your Success!

    The best part of our work here at QuantFish is seeing our trainees implement their newfound analytic skills in their own research. We LOVE hearing about published papers and successful defenses. Find us on Facebook or shoot us an email so we can celebrate with you!

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Satisfaction Guarantee

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.