A publication sponsored by the American Educational Research Association's Special Interest Group (SIG), Multiple Linear Regression: The General Linear Model
Volume 41 • Number 1 • 2015
Table of Contents
Editor's Commentary
David A. Walker - Northern Illinois University
Logistic Regression and Model Based Recursive Partitioning for Item Evaluation
W. Holmes Finch- Ball State University
Brian F. Finch - Washington State University
Using the General Linear Model to Facilitate the Full Integration of Qualitative and Quantitative Analysis: The Potential to Improve Prediction and Theory Building and Testing
Isadore Newman - Florida International University
Anthony J. Onwuegbuzie - Sam Houston State University
John H. Hitchcock - Indiana University - Bloomington
Prediction, Explanation, Multicollinearity, and Validity Concentration in Multiple Regression
John D. Morris - Florida Atlantic University
Mary G. Lieberman - Florida Atlantic University
Statistical Gestalt: Illustrating Interaction with Indicator Variables
Joseph G. Eisenhauer - University of Detroit Mercy