ISBN-10:
0205867030
ISBN-13:
9780205867035
Pub. Date:
01/10/2014
Publisher:
Pearson
Statistics for Social Workers / Edition 9

Statistics for Social Workers / Edition 9

by Robert W. Weinbach, Richard M. Grinnell
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Product Details

ISBN-13: 9780205867035
Publisher: Pearson
Publication date: 01/10/2014
Edition description: New Edition
Pages: 304
Sales rank: 506,388
Product dimensions: 11.40(w) x 9.00(h) x 0.40(d)

About the Author

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).

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

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Statistics for Social Workers 2 out of 5 based on 0 ratings. 1 reviews.
Anonymous More than 1 year ago
Upon receiving this book in print, I was disappointed to see that there is a "link" at the end of each chapter . Obviously you cannot open a link from a printed page. I checked with the publishers and they told me I was out of luck unless I bought the e-book version. The previous edition had review questions. Do you think this edition is an improvement?