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Statistics for Social Workers, 9th Edition

Robert W. Weinbach
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Statistics for Social Workers, 9th Edition

By Robert W. Weinbach, Richard M. Grinnell
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Overview
Author
Robert W. Weinbach
...show all
Edition
9th
ISBN
9780205867035
Published Date
27/12/2013
Pages
304

This title is also available packaged with the Enhanced Pearson eText. To order the Enhanced Pearson eText packaged with a bound book, use ISBN: 0133909069.

 

A reader-friendly approach to statistics in social work practice.


Statistics for Social Workers, 9/e familiarizes students with statistical tests and analyses that are most likely to be encountered by social work researchers and practitioners. This reader-friendly title emphasizes the conceptual underpinning of statistical analyses, keeping mathematics and complicated formulae to a minimum. Readers require no prior knowledge of statistics and only basic mathematical competence.

 

Invigorate learning with the Enhanced Pearson eText
The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content with learning objectives, flashcards, and end of chapter reviews. The Enhanced Pearson eText is also available without a print version.

 

Instructors, visit pearsonhighered.com/etextbooks to register for your digital examination copy.

Biography

Robert W. Weinbach, Ph.D., MSW, ACSW is Distinguished Professor Emeritus at the University of South Carolina, where he continues to teach graduate level research courses in the College of Social Work. He is also a co-author of Research Methods for Social Workers, seventh Edition; The Social Worker as Manager, Sixth Edition; and is the author of Evaluating Social Work Services and Programs, (all published by Allyn & Bacon), as well as over 75 other publications and invited book chapters. He earned graduate degrees in social work from SUNY-Buffalo and Ohio State University and has worked in both medical and psychiatric social work practice and as a program evaluator.

Richard M. Grinnell, Jr. is a Professor of Social Work and holds the Clair and Clarice Platt Jones/Helen Frays Endowed Chair of Social Work Research in the School of Social Work at Western Michigan University. He received his Ph.D. in social work from the University of Wisconsin at Madison and for over the past 40 years has held academic and senior university administrative appointments in Australia, Canada, and the United States. He has published over 100 journal articles, book chapters, and conference presentations, and 36 books. His two latest books are Evaluation for Social Workers: Foundations of Evidence–Based Programs, 6th edition (Oxford University Press, 2012, with Peter Gabor and Yvonne Unrau) and Social Work Research and Evaluation: Foundations of Evidence-Based Practice, 10th edition (Oxford University Press, 2014, with Yvonne Unrau).

Features

Invigorate learning with the Enhanced Pearson eText
The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content with the following multimedia features:

  • Embedded Flashcards. Readers can review key terms. (See page 44 and 82 for examples.)
  • Chapter Review. Readers can check their understanding of chapter concepts by completing of chapter reviews. (See page 44 and 83 for examples.)
  • Interactive Learning Objectives at the beginning of each chapter. (See page 1 and 65 for examples.)

Instructors, visit pearsonhighered.com/etextbooks to register for your digital examination copy.

 

Additional text features include:

  • Incorporates Real-life Examples - Major statistical tests presented throughout the text are accompanied by real-life examples. These examples show students how statistical analysis can be used in social work practice decision-making. New and revised case examples such as ethical considerations of central tendency and dispersion (Chapter 3), illustrate how statistical analysis can be used in day-to-day decision-making, as well as in basic research.
  • De-emphasizes Mathematical Computations - Mathematical computations are de-emphasized, helping students to focus on understanding the importance of statistical analysis and apply the results to social work practice.
  • Provides Visual Explanations - Numerous boxes, figures and tables summarize key sections and help students to comprehend some of the more abstract ideas presented.
  • Addresses Ethical Issues - Potential ethical problems in the use of statistical analyses are identified, and suggestions are offered as to how they can be avoided.
  • Connects Statistics and Research Design - The inter-relationship of statistics and research design is emphasized throughout, both in a new “Research Design” section in Chapter 1 and when each statistical test is discussed. The book describe how certain research designs and certain statistical analyses "go together."
New to this edition

Invigorate learning with the Enhanced Pearson eText
The Enhanced Pearson eText provides a rich, interactive learning environment designed to improve student mastery of content with the following multimedia features:

  • Embedded Flashcards. Readers can review key terms. (See page 44 and 82 for examples.)
  • Chapter Review. Readers can check their understanding of chapter concepts by completing of chapter reviews. (See page 44 and 83 for examples.)
  • Interactive Learning Objectives at the beginning of each chapter. (See page 1 and 65 for examples.)

Instructors, visit pearsonhighered.com/etextbooks to register for your digital examination copy.

 

Key content changes include:

 

Correlated with the Council on Social Work Education (CSWE) Competencies.

 

Chapter 1

  • Completely rewritten and reorganized
  • A new section on research design
  • Additional content on construction of dummy variables  
  • New content on the relationship between research hypotheses and statistics
  • New content on null research findings and their value
  • Increased emphasis on the use of statistics in descriptive research.



Chapter 2

  • New content on computer generated graphs and the ethical issues they present

 

Chapter 3

  • More content on measures of central tendency and dispersion, with new examples of how (ethically) to decide which to use



Chapter 4

  • New content on sampling error and its relationship to research design

 

Chapter 5

  •  Increased emphasis on the role of the null hypothesis in statistics, and how the laws of probability are used

 

Chapter 6

  • Content on sampling distributions has been re-organized and re-written for improved clarity.

 

Chapter 7

  • A new section explaining the (often misunderstood) concept of degrees of freedom
  • The various t-tests and ANOVA are now presented with a listing of the research designs with which each is most often used

 

Chapter 8

  • New content on the meaning of each of the numbers in a cross-tabulation table
  • More content on degrees of freedom and the various research designs where the chi-square test can be used

 

Chapter 9

  • Correlation analysis is described as very versatile; it's use in both research design and hypothesis testing is described
  • There are numerous new and previously used examples of how correlation can be misinterpreted if it is confused with causation

 

Chapter 10

  • Examples of how regression analysis can be used for making everyday practice decisions

 

Chapter 11

  • There is new and expanded description of meta-analysis with new examples
  • A new box and a new figure support and clarify a new section on logic models and how they provide the focus for the statistical analysis that is used in different types of program evaluations
Table of contents

In this Section:

    I) Brief Table of Contents

    II) Detailed Table of Contents

 


I) Brief Table of Contents

 

Chapter 1. Introduction

Chapter 2. Frequency Distributions and Graphs

Chapter 3. Measures of Central Tendency and Variability

Chapter 4. Normal Distributions

Chapter 5. Testing Hypotheses

Chapter 6. Sampling Distributions

Chapter 7. t Tests and Analysis of Variance         

Chapter 8. The Chi-Square Test of Association between Variables       

Chapter 9. Correlation

Chapter 10. Regression      

Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice

 


II) Detailed Table of Contents

 

Chapter 1. Introduction

Useful Terms You Will Need to Know

Measurement iSSUES

Additional Measurement Classifications      

Research Hypotheses

Classification of Variables and Their Relationship

Categories of Statistical Analyses   

Statistics and data collection

Research designs and statistics

 

Chapter 2. Frequency Distributions and Graphs

Frequency Distributions      

Grouped Frequency Distributions    

Using Frequency Distributions to Analyze Data     

Misrepresentation of Data   

Graphs         

A Caution: Computer-generated graphs    

 

Chapter 3. Measures of Central Tendency and Variability

Measures of Central Tendency

Measures of Variability       

Other Uses for Central Tendency and Variability   

 

Chapter 4. Normal Distributions

Skewness     

Kurtosis        

The Normal Curve

The Standard Normal Distribution

Converting Raw Scores to z Scores and Percentiles

Deriving raw Scores From Percentiles

 

Chapter 5. Testing Hypotheses

Alternative Explanations for Relationships Within Samples

Probability and Inference

Refuting Sampling Error

Statistical Significance

Testing the Null Hypothesis

Errors in Drawing Conclusions About Relationships

Statistically Significant Relationships and Meaningful Findings

The Hypothesis Testing process

 

Chapter 6. Sampling Distributions

Sample Size and Sampling Error

What are Sampling Distribution?

Rejection Regions and hypothesis testing

Estimating Parameters

Selecting Statistical Tests    

Deciding Which Test to use  

         

Chapter 7. t Tests and Analysis of Variance     

The use of t Tests    

The One-sample t Test       

The Dependent t Test         

The Independent tTest        

Misuse of t tests

Simple Analysis of Variance (Simple Anova)        

Multivariate Analysis of Variance    

 

Chapter 8.  The Chi-Square Test of Association between Variables           

When Chi-Square is Appropriate

Cross-Tabulation Tables      

Using Chi-Square

When Chi-square is not appropriate

Using chi-square in social work practice

Cross-Tabulation With Three or More Variables

Special Applications of The Chi-Square Formula    

         

Chapter 9. Correlation

Uses of Correlation  

Scattergrams

Nonperfect Correlations

Interpreting Linear Correlations      

Using Correlation for inference

Pearson’S r   

Nonparametric Alternatives to Pearson’S r

Correlation With Three or More Variables  

Other Multivariate analyses That use Correlation  

 

Chapter 10. Regression    

Prediction and Evidence-Based Practice     

Prediction and Statistical Analysis   

What is Simple Linear Regression?  

Computation of the Regression Equation   

More About the Regression Line     

Interpreting Results  

Using regression in social work practice

When is regression analysis appropriate

Regression With Three or More Variables  

Other Types of Regression Analyses         

         

Chapter 11. Other Ways That Statistical Analyses Contribute to Evidence-Based Practice

Meta-analyses

Program evaluations

Single-System designs