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.
- 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 their interpretation, the limits of dispassionate analysis, and the conditions under which sounds analysis can inform decisions
|Product dimensions:||7.40(w) x 9.00(h) x 1.00(d)|
Table of ContentsPREFACEACKNOWLEDGMENTS1. Introduction2. Research Design and Data Collection3. Measurement4. Data Editing, Transformation, Index Construction, and Weights5. Statistics as Description6. Charts and Graphs7. Percentages and Contingency Tables8. Samples and Statistical Inference9. Statistics as Group Differences10. Statistics as Relationships11. Regression Analysis12. Detecting and Correcting Violations of Regression Assumptions13. Time Series Analysis, Program Assessment, and Forecasting14. Presenting Persuasive Statistical AnalysesAPPENDIX A: FROM WHENCE DO DATA COME? KEY STATISTICAL SITES FROM THE U.S. GOVERNMENTAPPENDIX B: HOW TO SELECT THE RIGHT STATISTICSAPPENDIX C: IN-CLASS QUESTIONNAIREREFERENCES