Statistics: A Tool for Social Research and Data Analysis,
11th Edition

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.

• A new emphasis is placed on the same "real data" that most industries now use to make evidence-based decisions. In every chapter, hypothetical examples have been replaced with new data used by professionals working on current issues in social policy research, market research, social work, education and other fields. These are now featured in Social Research and Data Analysis boxes.

• All the sections on politics (including the most recent general election), criminal justice, public opinion, sexual behavior and other topics have been thoroughly updated throughout. A "Using Statistics" box at the beginning of each chapter tells students what kinds of things they can learn by using that material and where in the chapter they can find examples of it.

• SPSS examples include problems using the 2018 General Social Survey, the Pew Research Center's Core Trends Survey and databases that incorporate information from the 50 states and a diverse group of nations.

• Highlighting the careers in data analysis that social science students can now pursue, new end-of-chapter problems have been added on social policy and market research topics to complement the text's traditional problems in sociology, social work, political science, criminal justice, public administration and gerontology.

• Because math anxiety is a common and often serious problem for many students, the text provides a substantial math review section, including a self-test, to help students sharpen the skills required for the course and gain confidence in their ability to master the material. Extremely accessible, the book is designed to help those who struggle with math. All formulas in the text are followed by boxes that explain step-by-step how to carry out the math.

• 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. By identifying problems with specific disciplines, students can more easily see the relevance of statistics to their own academic interests. They will also see that the disciplines have a large subject matter in common.

• All end-of-chapter problem sections include SPSS problems.

• As it explores the role of statistics in social science research, the text explains how to select an appropriate method for a specific problem and data set and how to analyze the statistical results. All problem examples are presented in the context of social research and data analysis, helping students see the real-world relevance of chapter concepts.

• "Interpreting Statistics" sections provide noncomputational examples demonstrating the application of statistical analysis to real-world research problems.

• "Reading Statistics" boxes introduce students to professional literature and ways social scientists apply and interpret statistics.

• Extremely readable and easy to use, STATISTICS: A TOOL FOR SOCIAL RESEARCH AND DATA ANALYSIS is known for its student-friendly presentation.

• 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. These examples of everyday applications help students see that statistics are not just abstract mathematical constructs, but they have practical value in today's government, education, business, media, politics, sports and more.

• End-of-chapter SPSS exercises equip students with hands-on experience putting what they learn into practice by requiring them to be actively involved in completing the exercises, stating research questions, selecting appropriate variables and interpreting results.

• Interpretation -- as opposed to "mere computation" -- is emphasized throughout the text.

• "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.

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