Applied Multivariate Research: Design and Interpretation
For me the comprehensive nature of the text is most important – even when I don’t cover topics in class students gain value by being able to read about cluster analysis or ROC analysis in enough detail that they can conduct their own analyses. Students appreciate the integration with SPSS. There is an appropriate balance of “practice” and background so that students learn what they need to know about the techniques but also learn how to implement and interpret the analysis. (E. Kevin Kelloway, Saint Mary's University)The key strengths are its clearly written explanations of OLS regression and logistic regression as well as its treatment of path analysis. (Andrew Jorgenson, University of Utah)The comprehensive nature of the topics presented and the numerous figures and charts. (Marie Kraska, Ph.D., Auburn University 2012-06-01)Organization is excellent. (Thomas J. Keil, Arizona State University)Well written and accessible. I find the additional readings at the end of the chapters to be valuable and have tracked down several of the sources for my own personal use. (Glenn J. Hansen, University of Oklahoma)My students think the book is well written and the language is easy for them to understand (Xiaofen Deng Keating, The University of Texas at Austin)