
Statistics: A Tool for Social Research and Data Analysis
Wadsworth Publishing Co Inc
11th Edition
Published on 6. April 2020
Book
Paperback/Softback
592 pages
978-0-357-37107-7 (ISBN)
Shipment within 15-20 days
Description
Extremely student friendly, Healey's STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, 11e, equips you with a solid understanding of statistical fundamentals and their practical application to current social issues -- no advanced math knowledge required. The text breaks down even the most complex material to help you master key concepts and develop the skills you need as a professional in a social science field -- or simply to become a "statistically literate" consumer of social research. Everyday examples illustrate that statistics are not just abstract mathematical constructs, but they have practical value in government, education, business, media, politics, sports and more. Research examples in every chapter include the same "real data" used by professionals across various fields to make evidence-based decisions. Also available: MindTap digital learning solution.
More details
Edition
11th edition
Language
English
Place of publication
Belmont, CA
United States
Publishing group
Cengage Learning, Inc
Target group
College/higher education
Dimensions
Height: 22 mm
Width: 182 mm
Thickness: 228 mm
Weight
839 gr
ISBN-13
978-0-357-37107-7 (9780357371077)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
03/2026
12th Edition
Wadsworth Publishing Co Inc
€275.50
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Previous edition

Book
09/2020
10th Edition
Wadsworth Publishing Co Inc
€96.55
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Persons
Joseph F. Healey is Professor Emeritus of Sociology at Christopher Newport University. In addition to STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS, he is the author of RACE, ETHNICITY, GENDER AND CLASS, 8th Edition (Sage, 2018 ) and DIVERSITY AND SOCIETY, 6th Edition (Sage, 2020 ) as well as co-author of several other texts. Dr. Healey earned his A.B. and M.A. from The College of William and Mary (sociology and anthropology) and his Ph.D. from the University of Virginia (sociology and anthropology). In his spare time, he plays and records music for the hammer dulcimer and banjo. Christopher Donoghue is Associate Professor of Sociology at Montclair State University in New Jersey. He is the author of many articles on bullying, race and ethnicity, and nursing home care, with his work appearing in such journals as THE GERONTOLOGIST, SOCIOLOGICAL FORUM, RESEARCH ON AGING, JOURNAL OF ADOLESCENCE, THE SOCIAL SCIENCE JOURNAL, DISABILITY AND SOCIETY, HEALTHCARE MANAGEMENT REVIEW, CHILDREN AND SCHOOLS, SOCIOLOGICAL STUDIES OF CHILDREN AND YOUTH and SEX EDUCATION. Dr. Donoghue earned his B.A. from Seton Hall University, his M.A. from Montclair State University and his Ph.D. from Fordham University. Recently he helped to establish a new Master of Arts in Social Research and Analysis program at Montclair State.
Content
1. Introduction.
PART I: DESCRIPTIVE STATISTICS.
2. Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs.
3. Measures of Central Tendency.
4. Measures of Variation.
5. The Normal Curve.
PART II: INFERENTIAL STATISTICS.
6. Introduction to Inferential Statistics: Sampling and the Sampling Distribution.
7. Estimation Procedures.
8. Hypothesis Testing I: The One-Sample Case.
9. Hypothesis Testing II: The Two-Sample Case.
10. Hypothesis Testing III: The Analysis of Variance.
11. Hypothesis Testing IV: Chi Square.
PART III: BIVARIATE MEASURES OF ASSOCIATION.
12. Bivariate Association for Nominal- and Ordinal-Level Variables.
13. Association Between Variables Measured at the Interval-Ratio Level.
PART IV: MULTIVARIATE TECHNIQUES.
14. Elaborating Bivariate Tables.
15. Partial Correlation and Multiple Regression and Correlation.
Appendix A: Area Under the Normal Curve.
Appendix B: Distribution of t.
Appendix C: Distribution of Chi Square.
Appendix D: Distribution of F.
Appendix E: Using Statistics: Ideas for Research Projects.
Appendix F: An Introduction to SPSS.
Appendix G: Codebooks for All Data Sets.
Answers to Odd-Numbered End-Of-Chapter Problems and Cumulative Exercises.
Glossary.
Index.
PART I: DESCRIPTIVE STATISTICS.
2. Basic Descriptive Statistics: Tables, Percentages, Ratios and Rates, and Graphs.
3. Measures of Central Tendency.
4. Measures of Variation.
5. The Normal Curve.
PART II: INFERENTIAL STATISTICS.
6. Introduction to Inferential Statistics: Sampling and the Sampling Distribution.
7. Estimation Procedures.
8. Hypothesis Testing I: The One-Sample Case.
9. Hypothesis Testing II: The Two-Sample Case.
10. Hypothesis Testing III: The Analysis of Variance.
11. Hypothesis Testing IV: Chi Square.
PART III: BIVARIATE MEASURES OF ASSOCIATION.
12. Bivariate Association for Nominal- and Ordinal-Level Variables.
13. Association Between Variables Measured at the Interval-Ratio Level.
PART IV: MULTIVARIATE TECHNIQUES.
14. Elaborating Bivariate Tables.
15. Partial Correlation and Multiple Regression and Correlation.
Appendix A: Area Under the Normal Curve.
Appendix B: Distribution of t.
Appendix C: Distribution of Chi Square.
Appendix D: Distribution of F.
Appendix E: Using Statistics: Ideas for Research Projects.
Appendix F: An Introduction to SPSS.
Appendix G: Codebooks for All Data Sets.
Answers to Odd-Numbered End-Of-Chapter Problems and Cumulative Exercises.
Glossary.
Index.