Statistics for Evidence-Based Practice and Evaluation

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. Types of Distributions. 9. z-Scores, Percentiles, and Effect Size. Part 3: INFERENTIAL DATA ANALYSIS: CONCEPTUAL FOUNDATION. 10. Probability and Sampling Distributions. 11. Hypothesis Testing and Statistical Significance. 12. Type I and Type II Errors. 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 Evaluation Designs. Appendix A: Review of Some Math Basics. Appendix B: Statistical Symbols. Appendix C: A Conceptual Overview of Factor Analysis. Appendix D: A Conceptual Overview of Discriminant Analysis. Appendix E: A Conceptual Overview of Logistic Regression. Appendix F: A Conceptual Overview of Multilevel Modeling (Hierarchical Linear Models). Appendix G: A Conceptual Overview of Path Analysis. Appendix H: A Conceptual Overview of Structural Equation Modeling. Appendix I: A Conceptual Overview of Event History Analysis (Survival Analysis). Appendix J: Reporting Your Statistical Findings. Appendix K: Preparing Data for Analysis. Appendix L: Hypothetical Data Set for SPSS. Appendix M: SPSS Instructions and Exercises. Glossary. References. Index.