Data Analysis A Model Comparison Approach, Second Edition
Co-edited by Carey S. Ryan, UNO faculty member.
This completely rewritten classic text features many new examples, insights and topics including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits:
-It strengthens the intuitive understanding of the material thereby increasing the ability to successfully analyze data in the future
-It provides more control in the analysis of data so that readers can apply the techniques to a broader spectrum of questions
-It reduces the number of statistical techniques that must be memorized
-It teaches readers how to become data analysts instead of statisticians.
New York, New York
Judd, Charles; McClelland, Gary; and Ryan, Carey S., "Data Analysis A Model Comparison Approach, Second Edition" (2009). Faculty Books and Monographs. 92.