SIG-Multiple Linear Regression: The General Linear Model

David O. Newman, Florida Atlantic University

Interpreting Regression Effects Custom Dialogue: An SPSS Plug-In to the R Yhat Package - Paeng Angnakoon, University of North Texas; Kim Nimon, The University of Texas - Tyler

Logistic Regression and Model-Based Recursive Partitioning for Item Evaluation - Brian F. French, Washington State University; William Holmes Finch, Ball State University

Prediction, Explanation, Multicollinearity, and Validity Concentration - John D. Morris, Florida Atlantic University; Mary G. Lieberman, Florida Atlantic University

Using Structural Equation Modeling to Facilitate the Validity and Reliability Estimations of an Instrument to Measure Dispositions Toward Sustainable Systems Instruction: A General Linear Model Approach - Jennifer Morales, Florida International University

Using the General Linear Model to Facilitate the 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

Randall E. Schumacker, The University of Alabama