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330.684.11
Advanced Latent Variable Modeling: Applications in Mental Health

Cancelled

Location:
East Baltimore
Term:
Summer Inst. term
Department:
Mental Health
Credits:
2 credits
Academic Year:
2016 - 2017
Dates:
Thu 06/09/2016 - Fri 06/10/2016
Class Times:
  • Th F,  8:30am - 5:00pm
Auditors Allowed:
No
Grading Restriction:
Pass/Fail
Course Instructor :
Contact:
Rashelle Musci
Frequency Schedule:
One Year Only
Resources:
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
Methods of Assessment:

classroom participation: 20%; in-class exercises: 30%; final exam: 50%

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.