Instructor: Dr. Lesa Hoffman    
Email: Lesa@unl.edu Phone: 402.472.6930
Room: 234 Burnett Hall Office: 219 Burnett Hall
Time: 9:00-12:00 July 29 - August 1 only
(1 credit)		 Office Hours: 12-1 class days

This course will be offered July 29 - August 1, 2013 (second 5-week session) from 9-12 each day.

Schedule and Materials for 2013

Class

Date

Course Materials
1 7/29 Part 1 Lecture: Models for Binary, Proportion, and Categorical Outcomes
Part 1 Examples: All SAS and Excel Example Files
Sorry, No Recording for Lecture 1: Intro to Generalized Models and Maximum Likelihood
Sorry, No Recording for Lecture 2: Models for Binary Outcomes
2 7/30 Part 1, continued
Lecture 3 Flash Video: Models for Proportion Outcomes (Binomial) (MP4 Video Version)
Lecture 4 Flash Video: Models for Proportion Outcomes (Beta) (MP4 Video Version)
Lecture 5 Flash Video: Models for Ordinal Outcomes (MP4 Video Version)
Lecture 6 Flash Video: Models for Nominal Outcomes (MP4 Video Version)
3 7/31 Part 2 Lecture: Models for Skewed and Zero-Inflated Outcomes; Multivariate and Multilevel Models
Part 2 Examples: All SAS and Mplus Example Files
Lecture 1 Flash Video: Models for Skewed Discrete Outcomes (MP4 Video Version)
4 8/01 Part 2, continued
Lecture 2 Flash Video: Models for Skewed Continuous Outcomes; Zero-Inflated Models (MP4 Video Version)
Lecture 3 Flash Video: Hurdle and Two-Part Models; Multivariate Models (MP4 Video Version)

Course Pre-Requisites and Objectives:

The course will cover generalized linear modeling using SAS. Participants should be familiar with general linear models (e.g., regression, ANOVA) and SAS.

Course Requirements:

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.

Academic Honesty:

As a reminder, the University has a policy on academic honesty (see the Graduate Studies Bulletin).
ALL PROJECTS SHOULD BE DONE INDIVIDUALLY.

Accommodating Disabilities:

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.