Statistics for Evidence-Based Practice and Evaluation, International Edition

Part 1: INTRODUCTION AND EVIDENCE-BASED PRACTICE. 1. Why Study Statistics. 2. Use of Statistics in Evidence-Based Practice. 3. Review of Key Research Methodology Concepts and Terms. Part 2: DESCRIPTIVE STATISTICS. 4. Frequency Distributions. 5. Graphs and Charts. 6. Measures of Central Tendency. 7. Measures of Dispersion. 8. Normal Distributions. 9. z-Scores, Percentiles, and Effect. Part 3: INFERENTIAL DATA ANALYSIS: CONCEPTUAL FOUNDATION. 10. Probability and Sampling Distributions. 11. Hypothesis Testing and Statistical Significance. 12. Statistical Conclusion Validity. 13. Interpreting the Strength and Importance of Relationships. Part 4: INFERENTIAL DATA ANALYSIS: PARAMETRIC AND NONPARAMETRIC PROCEDURES. 14. The t-Test. 15. Analysis of Variance. 16. Cross-Tabulation and Chi-Square. 17. Correlation. 18. Regression Analysis. 19. Applications to Single-System Regression Designs. Appendix A. Review of Some Math Basics. Appendix B: Statistical Symbols. Appendix C: Additional Multivariate Procedures: A Conceptual Overview. Appendix D: Reporting Your Statistical Findings. Appendix E: Preparing Data for Analysis. Appendix F: Hypothetical Data Set for SPSS. Appendix G: SPSS Instructions and Exercises.