330.631.11
Latent Class Analysis and Regression for Mental Health Research
Location
East Baltimore
Term
Summer Institute
Department
Mental Health
Credit(s)
2
Academic Year
2016 - 2017
Instruction Method
TBD
Start Date
Tuesday, June 7, 2016
End Date
Wednesday, June 8, 2016
Tu, W, 8:30am - 5:00pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
One Year Only
Resources
Prerequisite
140.621-624 or equivalent.
Addresses latent class analysis, a latent variable method often used in Mental Health research to identify latent groups of individuals based on patterns of categorical observed variables. Use of additional variables to predict latent class membership will also be explored. Includes discussion of examples from the mental health literature as well as hands-on model-fitting using MPLUS. Latent class analysis is a method of modeling categorical latent variables, such as psychiatric diagnoses, as a function of a set of categorical observed variables.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Identify appropriate applications of latent class analysis
- Describe the latent class analysis model, including each parameter and its interpretation
- Fit latent class analytic models using MPLUS
- Assess concurrence with model assumptions and model fit
This will be classroom based. Students will be required to bring their own laptops. The MPLUS demo software is free.