330.666.11
Longitudinal Analysis With Latent Variables
Course Status
Cancelled
Course Status
Cancelled
Location
East Baltimore
Term
Summer Institute
Department
Mental Health
Credit(s)
3
Academic Year
2012 - 2013
Instruction Method
TBD
Start Date
Monday, June 11, 2012
End Date
Wednesday, June 13, 2012
M, Tu, W, 9:00am - 5:00pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Shaunna Clark
Contact Name
Frequency Schedule
One Year Only
Resources
Prerequisite
330.657 and 140.658 (2 terms) or equivalent
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.