330.684.11
Advanced Latent Variable Modeling: Applications in Mental Health

Cancelled

Location
East Baltimore
Term
Summer Institute
Department
Mental Health
Credit(s)
2
Academic Year
2016 - 2017
Instruction Method
TBD
Start Date
Thursday, June 9, 2016
End Date
Friday, June 10, 2016
Class Time(s)
Th, F, 8:30am - 5:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Course Instructor(s)
Rashelle Musci
Contact Name
Rashelle Musci
Frequency Schedule
One Year Only
Description
Introduces students to advanced latent variable methods that can be used to explore a wide range of research questions. Illustrates use of MPlus software to analyze 1) latent class and latent profile models with predictors and distal outcomes, 2) growth mixture models, and 3) multi-level latent class models. Through hands-on experience with real world data, acquaints students with how to use advanced latent variable methods in their research.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Perform basic analytics in MPlus
  2. Perform and interpret latent class and latent profile analyses with predictors and distal outcomes
  3. Perform and interpret general growth mixture models
Instructor Consent
No consent required
Special Comments

Students will use a trial version of MPlus. Students are required to complete readings prior to the start of the course. The final exam will be due on June 24, 2016.