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Statistics: A Tool for Social Research and Data Analysis

Author(s): Joseph F. Healey, Christopher Donoghue

ISBN: 9789355737878

11th Edition

Copyright: 2021

India Release: 2023

₹1295

Binding: Paperback

Pages: 564

Trim Size: 254 x 203 mm

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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.

  • Extremely readable and easy to use, STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS is known for its student-friendly presentation.
  • Streamlined content and a student-friendly page design make the text less intimidating for students with math anxiety as well as more enjoyable for all students and instructors. Overviews for each section of the text clarify the organization, preview the content and key concepts, and help students understand why the material is covered. Extensive problem sets at the end of each chapter and

multichapter cumulative exercises help students review key concepts and operations to ensure they have a solid understanding.

  • Almost all end-of-chapter problems are labeled by the social science discipline or discipline from which they are drawn: SOC for sociology, SP for social policy, MR for market research, SW for social work, PS for political science, CJ for criminal justice, PA for public administration and GER for gerontology.
  • All formulas in the text are followed by boxes that explain step-by-step how to carry out the math.
  • All problem examples are presented in the context of social research and data analysis, helping students see the real-world relevance of chapter concepts.
  • "One Step at a Time" features present at-a-glance computational procedures for each statistic, making it easy for students to immediately apply their knowledge and appreciate the practical value of the material.
  • "Interpreting Statistics" sections provide noncomputational examples demonstrating the application of statistical analysis to real-world research problems.
  • All end-of-chapter problem sections include SPSS problems.
  • Included in every chapter, the "Statistics in Everyday Life" feature provides examples of the relevance and usefulness of statistics in a wide variety of situations, ranging from telephone solicitations to income inequality in the United States.

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.

 

Joseph F. Healey

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

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.