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330.666.11 LONGITUDINAL ANALYSIS WITH LATENT VARIABLES

Cancelled

Department:
Mental Health
Term:
Summer Inst. term
Credits:
3 credits
Academic Year:
2013 - 2014
Location:
East Baltimore
Class Times:
  • Mon 06/10/2013 - Wed 06/12/2013
    M Tu W,  9:00am - 5:00pm
Frequency Schedule:
One Year Only
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Shaunna Clark
Course Instructor:
  • Shaunna Clark
Frequency Schedule:
One Year Only

Course Evaluation

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Description:

Acquaints students with the use of latent variables in longitudinal data analysis as it is conceptualized in the Mplus framework. Focuses on modeling opportunities for observed categorical (binary and ordinal) and count variables with both continuous and categorical latent variables. Using standard linear regression models as a point of departure, covers binary and ordinal logistic regression; latent growth curve models with binary and ordinal outcome variables; Poisson regression; Poisson and zero-inflated Poisson (ZIP) latent growth curve models; discrete- and continuous-time survival analysis; and latent transition analysis. Students study examples drawn from available public date sets.

Methods of Assessment:
Based on active participation and written lab reports.
Instructor Consent:
No consent required
Prerequisite:

330.657 and 140.658 (2 terms) or equivalent