Robert Weinbach, Richard Grinnell

Statistics for Social Workers with Enhanced Pearson Etext -- Access Card Package [With Access Code]

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Produktbeschreibung

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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.

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0133909069 / 9780133909067 Statistics for Social Workers with Pearson eText -- Access Card Package

Package consists of:
0205867030 / 9780205867035 Statistics for Social Workers 0205867243 / 9780205867240 Statistics for Social Workers, Pearson eText -- Access Card

Produktdetails

• Verlag: Pearson
• 9. Aufl.
• Seitenzahl: 304
• Erscheinungstermin: 27. November 2014
• Englisch
• Abmessung: 244mm x 201mm x 10mm
• Gewicht: 470g
• ISBN-13: 9780133909067
• ISBN-10: 0133909069
• Artikelnr.: 40577517

Autorenporträt

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).

Inhaltsangabe

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