Statistical Persuasion
How to Collect, Analyze, and Present Data...Accurately, Honestly, and Persuasively
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Statistical Persuasion
How to Collect, Analyze, and Present Data...Accurately, Honestly, and Persuasively
About this book
"A number of my students commended the readability of the book....It is truly one of a kind in the most excellent way."
-Elsie Szecsy, Arizona State University
This textbook focuses attention on the conceptual understanding of statistics, the signposts of (in)appropriate research design and quality measurement, the selection of the right statistical tools under different conditions, and the presentation of substantive and technical results.
Key Features
- Illustrates statistical and graphical procedures in SPSS and Excel through step-by-step instructions for the analysis of real-world examples and data problems in education, crime, government performance, and program evaluation
- Clearly demonstrates the importance of sound research designs and measurement as well as appropriate statistical procedures
- Shows how to make persuasive as well as principled statistical arguments and presentations to nonacademic audiences
- Embeds statistical analysis within a political framework, thus alerting students to the temptation to distort data and its interpretation, the limits of dispassionate analysis, and the conditions under which sound analysis can inform decisions
Instructors interested in this title can learn more about Robert Pearson andĀ his bookĀ by viewing his YouTube video.
Accompanied by robust ancillaries
The Password-ProtectedĀ Instructor TeachingĀ SiteĀ offers sample syllabi; an instructor?s manual; PowerPoint lecture slides, test questions and answer keys for each chapter and a final comprehensive examination, solution sets to lab exercises, and handouts for students.
The Student Study Site offers a student workbook that includes exercises, essay assignments, and sample data sets. Video lectures concerning key concepts are also available on YouTube.
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Information
Table of contents
- Cover Page
- Title Page
- Copyright Page
- Contents
- 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
- Glossary
- References
- Index
- About the Author