|Part 1 Lecture: Models for Binary, Proportion, and Categorical Outcomes
Part 1 Examples: All SAS and Excel Example Files
|Part 1, continued
|Part 2 Lecture: Models for Skewed and Zero-Inflated Outcomes; Multivariate and Multilevel Models
Part 2 Examples: All SAS and Mplus Example Files
|Part 2, continued
The course will cover generalized linear modeling using SAS. Participants should be familiar with general linear models (e.g., regression, ANOVA) and SAS.
Course performance will be evaluated through an individual project demonstrating knowledge of the concepts illustrated and practiced in class. The topic and scope of the project must be approved on an individual basis, but all projects will take the form of a results section, complete with text, tables, and figures. This project will be due via email August 16, 2013 by 11:59 PM. Participants are welcome to submit early and receive feedback before the deadline in order to revise their assignment. If no project is received by this deadline, no grade will be submitted.
As a reminder, the University has a policy on academic honesty (see the Graduate Studies Bulletin).
ALL PROJECTS SHOULD BE DONE INDIVIDUALLY.
Any student in this course who has a disability that may prevent him or her from fully demonstrating his or her abilities should contact me as soon as possible, so that we can discuss accommodations necessary to ensure full participation and facilitate your educational opportunity.