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



December 2009 | 424 pages | SAGE Publications, Inc

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Click on the Supplements tab above for further details on the different versions of SPSS programs.

"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 and his book by viewing his YouTube video at http://www.youtube.com/watch?v=Lu7IzFQtwco

Accompanied by robust ancillaries

The Password-Protected Instructor Teaching Site at http://www.sagepub.com/pearsonsp/ 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 at http://www.sagepub.com/pearsonsp/ offers a student workbook that includes exercises, essay assignments, and sample data sets. Video lectures concerning key concepts are also available on YouTube.

 




 
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

“I am very impressed with Statistical Persuasion, by Dr. Robert W. Pearson. The textbook includes the technical and mathematical knowledge students need to understand basic statistics, and it also includes an integration of these elements within the important framework of research design. The combination of the textbook and ancillary support materials is a complete package.”

 

Kristen A. Munger
Syracuse University

"Statistical Persuasion will serve well those who are looking for a practical and pragmatic approach to using and interpreting statistics for applied purposes. This book would best serve as a text for a capstone course in statistics where the focus is on the presentation and consumption of statistical outcomes. It does an excellent job convincing the reader of the importance of designing a study tailored to the needs of a social science question so that the resulting findings can meaningfully answer the question."

Jacqueline J. Carlson & Andrew N. Christopher
PsycCRITQUES

I am using this text to enhance current lecture materials.

Dr Jean Bronk
Schools of Graduate and Professional Programs, St Mary's University - Twin Cities
drupal

This is a good entry level statistics textbook for students with social sciences major. There are no hard math concepts but all of straight forward description to allow students to understand the basics of quantitative analytical approaches. The explanation of the SPSS (now named as PASW) is clear. Supplemental exercises are easy to follow. I don't think students will have anymore fear to math, statistics, and computer software after reading this book.

Dr Jeff Shen
School Of Psychology, Capella University
drupal

Readability, comprehensive, Online content, data sets, use of Excel and SPSS.

Dr Judith Halle
School of Graduate Studies, Mountain State University
drupal

THe text is very well written and readable. However, I do not want to encourage my statistcs students to use Excel EVER, so I didn't recommend this book. It is a great book to those who may use Excel for data analysis.

Dr Kristen Archbold
College of Nursing, University of Arizona
drupal

Not assigned to teach course

Dr Mary Lou Gutierrez
School of Public Health, University of Memphis
drupal

A bit too advanced for my undergraduate stats class.

Dr Nancy Alvarado
Psychology Sociology Dept, California State Polytechnic - Pomona
drupal

Level of text not appropriate for my students.

Dr Trish Voss
Nursing , Frontier School of Midwifery and Family Nursing
drupal

Pretty decent coverage of key statistical concepts

Mr Andrew Palmer
School of Business and Social Sciences, Roehampton University
drupal
Key features

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