Latent Class/Profile Analysis

To see dates and times, consult the calendar below

This workshop begins with a 45-60 minute interactive presentation on latent class/profile analysis. Participants will learn how and why researchers typically conduct theses analyses, how they are typically applied to real-data scenarios, and the key steps in conducting LCA/LPA. Following this presentation, Mplus analyses are demonstrated through all the necessary steps to conduct a LCA/LPA including deciding on the number of classes, regressing classes on predictors/covariates, and considering outcomes across classes.

Specific content will cover:

  • What is latent class analysis (LCA)?
  • How is LCA different from other analytical approaches?
  • Deciding on the number of classes
  • Predictors of classes
  • Outcomes of classes
  • In the model versus not in the model
  • Latent Profile Analysis (LPA)

Best suited for:

Individuals who are interested in learning LCA, how to apply these techniques to their data, and with some knowledge of factor analysis, logistic regression, and general structural equation modeling. $125 for students, $150 for all others.

To register and submit payment for this workshop, click on this link: Online workshops registration and payments