Statistical Persuasion: How to Collect, Analyze, and Present Data…Accurately, Honestly, and Persuasively

Abstract

PREFACE ACKNOWLEDGMENTS 1. Introduction 2. Research Design and Data Collection 3. Measurement 4. Data Editing, Transformation, Index Construction, and Weights 5. Statistics as Description 6. Charts and Graphs 7. Percentages and Contingency Tables 8. Samples and Statistical Inference 9. Statistics as Group Differences 10. Statistics as Relationships 11. Regression Analysis 12. Detecting and Correcting Violations of Regression Assumptions 13. Time Series Analysis, Program Assessment, and Forecasting 14. Presenting Persuasive Statistical Analyses APPENDIX A: FROM WHENCE DO DATA COME? KEY STATISTICAL SITES FROM THE U.S. GOVERNMENT APPENDIX B: HOW TO SELECT THE RIGHT STATISTICS APPENDIX C: IN-CLASS QUESTIONNAIRE REFERENCES