Social Statistics : Managing Data, Conducting Analyses, Presenting Results (Paperback, 4 ed)

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