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



January 2010 | 424 pages | SAGE Publications, Inc

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"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

Although an excellent and interesting read, the book was not suitable for the module I teach on. Excellent read though!

Miss Elizabeth Selina Green
Business and Law, University of the West Of England
June 9, 2015

Pretty decent coverage of key statistical concepts

Mr Andrew Palmer
School of Business and Social Sciences, Roehampton University
February 16, 2013

I did not adopt this but recommend it to everyone that I talk ot and all of my students. This is a wonderful book.

Ms Kristen Sethares
Adult and Child Nursing, University of Massachusetts - Dartmouth
October 5, 2012

While the book lacks considerable detail on the numeric details involved with both descriptive and inferential statistics, it does do a good job on data collection and the presentation of results.

Mr Daniel Smialek
Center for Professional Studies, Keuka College
May 24, 2012

Not assigned to teach course

Dr Mary Lou Gutierrez
School of Public Health, University of Memphis
May 15, 2012

The book is probably too intimidating to adotpted as an essential read for undergraduates. However it persuasively argues for the appropriate use of statistical tools within research. It would be useful to include more on liklihood ratios and a more comprehensive index.

Ms Anna Davenport
Materials Science Research Centre, Glyndwr University
December 5, 2011

Not appropriate for the class in mind

Professor Bev Carlsen-Landy
Sociology Social Work Dept, Texas Woman's University
October 26, 2011

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

Dr Judith Halle
School of Graduate Studies, Mountain State University
October 5, 2011

I plan to recommend this text to our math department as a supplement to the existing Introduction to Statistics text.

Mr James Anthos
Business Administration Prog, South University - Columbia
May 17, 2011

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
March 24, 2011
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