‚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 You Tube video.
Accompanied by robust ancillaries
The Password-Protected Instructor Teaching Site offers sample syllabi; an instructor′s manual; Power Point 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 You Tube.
Inhaltsverzeichnis
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
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