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