IBM SPSS for Intermediate Statistics

1. Introduction 2. Data Coding and Exploratory Analysis (EDA) 3. Imputation of Missing Data 4. Several Measures of Reliability 5. Exploratory Factor Analysis and Principal Components Analysis 6. Selecting and Interpreting Inferential Statistics 7. Multiple Regression 8. Mediation, Moderation, and Canonical Correlation 9. Logistic Regression and Discriminant Analysis 10. Factorial ANOVA and ANCOVA 11. Repeated-Measures and Mixed ANOVAs 12. Multivariate Analysis of Variance (MANOVA) 13. Multilevel Linear Modeling/Hierarchical Linear Modeling Appendix A. Getting Started With SPSS and Other Useful Procedures D. Quick, M. Myers Appendix B. Review of Basic Statistics J.M. Cumming, A. Weinberg Appendix C. Answers to Odd Interpretation Questions

"This text can be summed up in one exceedingly important word ... practicality. Amidst a world of statistical complexity, the authors practically weave the use of SPSS, key considerations, interpretation, and writing up findings into one applied, very useful basket." – Robin K. Henson, University of North Texas, USA
"An excellent book that details the application of statistical procedures from exploratory data analysis and univariate techniques through to multivariate methods and multilevel modeling, this is an indispensable supplement to any advanced statistics or methods course."- Daniel J. Denis, University of Montana, USA
"This book is essential for students and researchers all over the world because it helps users learn about complex statistics and how to compute them. It is easy to understand even for non-native English speakers." - Krisztian Jozsa, University of Szeged, Hungary, EU
"I’ve been using this text to teach intermediate-level quantitative statistics to undergraduate psychology students for several years. I appreciate the thorough coverage of the SPSS output and the guidance that the authors provide with respect to the interpretation of that output." – Catherine I. Phillips, University of Calgary, Canada