IBM SPSS for Intermediate Statistics : Use and Interpretation (Hardcover, 6 ed)

1. Introduction 2. Getting Data Ready for Analysis: Data Collection, Coding, Exploration, & Transformation? 3. Missing Data and Multiple Imputation? 4. Selecting and Interpreting Inferential Statistics? 5. Several Measures of Reliability? 6. Factor Analysis and Principal Components Analysis? 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;? Appendices? A. Review of Basic Statistics? B. Writing Research Problems and Questions? C. Answers to Odd Interpretation Questions? D. For Further Reading