Statistics for Social Workers (5th Edition)
Weinbach, Robert W.; Grinnell, Richard M., Jr.
Language: English
Published by Longman Pub Group, 2000
- Softcover
- Used
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- Title
- Statistics for Social Workers (5th Edition)
- Author
- Weinbach, Robert W.; Grinnell, Richard M., Jr.
- Publisher
- Longman Pub Group
- Publication year
- 2000
- Condition
- very_good
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0801333121
- ISBN 13
- 9780801333125
- Edition
- 5th or later Edition
This is the leading text for social work statistics courses because of its accessibility and the fact that it assumes no prior background in statistics.
This text can be used in introductory-level statistics courses or as part of the research methods sequence in social work. It includes numerous social work practice examples, and discusses types of statistical analyses that are most likely to be encountered by social work practitioners and researchers.
This edition has been reorganized and updated, with new content added on statistical power, effect size, and measures of association. New topics have been incorporated, including logistic regression and other methods of analysis not in prior editions. New figures and new content on sampling distributions and standard scores (z-scores) have also been added.
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From the Back Cover
Overview
This widely acclaimed statistics text requires no prior knowledge of statistics, emphasizing a conceptual understanding of the topic and its contribution to evidence-based practice. It helps students by discussing the types of statistical analyses that are most likely to be encountered by social work practitioners and researchers.
What Reviewers Are Saying About The 7th Edition
“Weinbach and Grinnell have an engaging and interesting book that is useful to all students no matter what their previous level of statistical knowledge and ability....Rather than focusing on formulas and hand-calculating data, it presents examples of the use of statistical analyses related to social work practice. In this way, students learn that by understanding statistics they can become critical consumers of articles that can inform their practice.”
--Carolyn Turturro, University of Arkansas at Little Rock
--Julia F. Hastings, University of California, Berkeley
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