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Statistics for Evidence-Based Practice and Evaluation, 3rd Edition

Allen Rubin

  • Copyright 2013
  • {{checkPublicationMessage('Published', '2012-01-06T00:00:00+0000')}}
Starting At $84.95 See pricing and ISBN options
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Statistics for Evidence-Based Practice and Evaluation 3rd Edition by Allen Rubin
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Overview

Rubin's STATISTICS FOR EVIDENCE-BASED PRACTICE AND EVALUATION has a proven ability to reach students and get them excited about--and see the relevance of--a course they often find intimidating. Presented in an authoritative yet humorous style, this text--designed specifically for statistics and evaluation courses in the helping professions--features cases, exercises, and many examples to bring the topic of statistics alive for student readers.

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Meet the Authors

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Allen Rubin

Allen Rubin has been doing and teaching research since 1976, when he received his Ph.D. from the University of Pittsburgh. He taught social work research at the University of Texas at Austin from 1979 through 2013 and at the University of Houston from 2013 through 2024. Renowned in social work, Dr. Rubin has written several research texts, published numerous research studies on social work practice and is a past president of the Society for Social Work and Research.

What's New

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  • Chapter 8, titled "Types of Distributions," now gives more attention to distributions that are not normal.
  • More content was added on calculating Cohen's _d_, including a new figure (with an illustration) in Chapter 13.
  • More content was added to Chapter 14 regarding how to present _t_-Test results, including a lengthy illustration of _t_-Test results from a recently published study by the author.
  • All SPSS material was updated to conform to the current version of SPSS.
  • New appendices were added on conceptual overviews of Multilevel Modeling (also known as HLM) and of Structural Equation Modeling (SEM).
  • The sections in the Appendix on conceptual overviews of additional multivariate procedures were made into separate appendices, with one appendix each on discriminant analysis, factor analysis, logistic regression, path analysis, and event history analysis (survival analysis).
  • The discussion of effect sizes in Chapter 13 was expanded to cover odds ratios for dichotomous data, such as in logistic regression analysis.

Features

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  • Practical examples provide students with the opportunity to see how and when data analysis and statistics are used in practice, with a clear and thorough description of evidence-based practice for social work students.
  • "Selecting an Appropriate Significance Test," a useful chart that appears on the text's endpapers, provides students with a quick and easy method to determine which test should be selected for the problem.
  • Students can use the simulated data set of a fictional residential treatment center, which appears in Appendix L, as a practice case while mastering the functionalities and applications of SPSS.
  • "Personal Stories" provide practitioners' first-hand accounts and experiences taken from their lives as social workers.
  • Excerpts appear from research articles in journals, illustrating some of the various ways statistical findings are reported.
  • At the end of relevant chapters, Rubin has included summary tables on different chi-square procedures and on various correlation statistics, which present this critical information in a clear and easy-to-review format.
  • Appendix M provides students with a comprehensive guide to the updated version of SPSS, complete with exercises for relevant chapters. By presenting this material in an appendix, the flow of the chapter material is not interrupted, yet it still gives modularized choice to both reader and professor.
  • The book includes a helpful appendix that covers how to write up the results of descriptive and inferential statistical analysis for reports and articles. New appendices were added on conceptual overviews of Multilevel Modeling (also known as HLM) and of Structural Equation Modeling (SEM). The sections in the Appendix on conceptual overviews of additional multivariate procedures were made into separate appendices, with one appendix each on discriminant analysis, factor analysis, logistic regression, path analysis, and event history analysis (survival analysis).

Table of Contents

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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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  • ISBN-10: 1133977162
  • ISBN-13: 9781133977162
  • RETAIL $84.95

  • ISBN-10: 0840029144
  • ISBN-13: 9780840029140
  • RETAIL $229.95
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Students: Buy now