Statistics for Evidence-Based Practice and Evaluation / Edition 3

Statistics for Evidence-Based Practice and Evaluation / Edition 3

by Allen Rubin
     
 

ISBN-10: 0840029144

ISBN-13: 9780840029140

Pub. Date: 01/09/2012

Publisher: Cengage Learning


Both practical and easy to read, Rubin's STATISTICS FOR EVIDENCE-BASED PRACTICE AND EVALUATION provides you with a step-by-step guide that will help you succeed in your course. Practice illustrations and exercises support your ability to study and retain core concepts, while practical examples provide you with the opportunity to see how and when data analysis and…  See more details below

Overview


Both practical and easy to read, Rubin's STATISTICS FOR EVIDENCE-BASED PRACTICE AND EVALUATION provides you with a step-by-step guide that will help you succeed in your course. Practice illustrations and exercises support your ability to study and retain core concepts, while practical examples provide you with the opportunity to see how and when data analysis and statistics are used by helping professionals in the real world.

Product Details

ISBN-13:
9780840029140
Publisher:
Cengage Learning
Publication date:
01/09/2012
Pages:
368
Sales rank:
239,442
Product dimensions:
7.90(w) x 9.80(h) x 0.70(d)

Table of Contents


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.

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