Preface Acknowledgments 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 sion 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 rospects: 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.