- Browse
Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Browse By Descriptor
- Information Menu
Search Tips
Annual Meeting Housing and Travel
- Navigation and Settings Menu
Personal Schedule
Sign In
- Social Media Menu
Facebook
X (Twitter)
32.067 - Multiple Linear Regression: The General Linear Model SIG Paper Session: Special Adaptations of the General Linear Model to Best Reflect the Research Question
Fri, April 28, 2:15 to 3:45pm, Henry B. Gonzalez Convention Center, Floor: Meeting Room Level, Room 216 BSession Type: Paper Session
Abstract
This is the Paper Session for the Multiple Linear Regression: GLM SIG. Special adaptations and techniques derived from the GLM that can be used to best reflect the research questions within unique circumstances will be discussed.
Sub Unit
Chair
Papers
An Examination of Link Function Choice in Ordinal Regression Models - Thomas J. Smith, Northern Illinois University; David A. Walker, Northern Illinois University; Cornelius McKenna, Kishwaukee College
Interpreting Multiple Regression Results: β Weights and Structure Coefficients - Leily Ziglari, Texas A&M University - College Station
Multivariate Regression With Small Samples: A Comparison of Estimation Methods - William Holmes Finch, Ball State University; Maria E. Hernandez Finch, Ball State University
Regression as the Univariate General Linear Model: Examining Test Statistics, P-Values, Effect Sizes, and Descriptive Statistics Using R - Kim Nimon, The University of Texas - Tyler; Julia Berrios; Mandolen Mull; Jon Musgrave, Indiana State University; Gregg Keiffer, Houston Baptist University
The Effect of Multicollinearity on Prediction in Regression Models - Daniel J. Mundfrom, Eastern Kentucky University; Michelle L DePoy Smith, Eastern Kentucky University; Lisa W Kay, Eastern Kentucky University