Table of Contents
Preface
Acknowledgements
Chapter 1. Life in a Data-Laden Age: Finding and Managing Datasets
Chapter 2. The Art of Visual Storytelling: Creating Accurate Tables and Graphs
Chapter 3. Summarizing Center and Diversity: Basic Descriptive Statistics
Chapter 4. Using Sample Crosstabs to Talk About Populations: The Chi-square Test
Chapter 5. Using a Sample Mean or Proportion to Talk About a Population: Confidence Intervals
Chapter 6. Using Multiple Sample Means to Talk About Populations: T–Tests and ANOVA
Chapter 7. Give me One Good Reason Why: Bivariate Correlation and Regression
Chapter 8. Using Sample Slopes to Talk About Populations: Inference and Regression
Chapter 9. It’s All Relative: Dichotomies as Independent Variables in Regression
Chapter 10. Above and Beyond: The Logic of Controlling and the Power of Nested Regression Models
Chapter 11. Some Slopes are Bigger than Others: Calculating and Interpreting Beta Coefficients
Chapter 12. Different Slopes for Different Folks: Interaction Effects
Chapter 13. Explaining Dichotomous Outcomes: Logistic Regression
Chapter 14. Visualizing Causal Stories: Path Analysis
Chapter 15. Questioning the Greatness of Straightness: Nonlinear Relationships
Chapter 16. Problems and Prospects: Regression Diagnostics, Advanced Techniques, and Where to Go Now
Appendix A: Variables and Indexes from the Datasets Used in the End-of-Chapter Exercises
Appendix B: 100 Articles That Use Statistics in Less than Scary Ways
Appendix C: Statistical Tables
Appendix D: Answers to Odd-Numbered End-of-Chapter Exercises
Bibliography
Glossary/Index
