Thomas J. Linneman

Social Statistics (eBook, PDF)

Managing Data, Conducting Analyses, Presenting Results

• Format: PDF

Produktbeschreibung

With a clear, engaging writing style and fascinating examples using a variety of real data, this text covers the contemporary statistical techniques that students will encounter in the world of social research. It covers these techniques at an introductory level and carefully guides students through increasingly complex examples without intimidating them. Recurrent examples using four timely topics-immigration, income inequality, the distribution of household labor, and health (including attitudes toward doctors and pandemic restrictions)-help students understand how the techniques fit together and how to use the techniques in combination with one another. A superb author-created web resource accompanies the text. How to make clear presentations of research results is also a feature of the text.

New to this edition:

• Most of the literature examples that end each chapter are new and use very recent research from top academic journals (over half of the new literature examples are from 2023 or 2024). They feature research about some of the most pertinent and provocative social issues of the day: political polarization, conspiracy beliefs, mental health, transgender support, racial stereotypes, vaccine refusal, sexual harassment, and numerous facets of the COVID-19 pandemic.
• Examples throughout the book use the most recent data from the General Social Survey. Four timely topics are threaded throughout the book: immigration, income inequality, the distribution of household labor, and health. Linneman uses these topics recurrently with different statistical techniques to illustrate how the techniques are related to one another.
• The new edition more explicitly emphasizes that the various techniques the students are learning are often used in combination with one another. Linneman carefully scaffolds the techniques, introducing a new technique and then showing how this technique can be combined with techniques taught in previous chapters. He does this with a new emphasis on psychologically supporting students who might be trepidatious about their newfound statistical skills.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 668
• Erscheinungstermin: 31. Juli 2025
• Englisch
• ISBN-13: 9781040362518
• Artikelnr.: 74622279

Autorenporträt

Thomas J. Linneman is Professor of Sociology at the College of William & Mary. The recipient of several teaching awards, he teaches statistics, social change, sexualities, and the COVID-19 pandemic. His research on teaching statistics recently appeared in the journal Teaching Sociology. After a student posted one of his teaching videos on TikTok and it went viral, a Buzzfeed list named him "Best Professor on the Planet."

Inhaltsangabe

Preface
Acknowledgements
Chapter 1. Life in a Data-Laden Age: Finding and Managing Datasets
Chapter 2. The Art of Visual Storytelling: Creating Accurate Tables and
Graphs
Chapter 3. Summarizing Center and Diversity: Basic Descriptive Statistics
Chapter 4. Using Sample Crosstabs to Talk About Populations: The Chi-square
Test
Chapter 5. Using a Sample Mean or Proportion to Talk About a Population:
Confidence Intervals
Chapter 6. Using Multiple Sample Means to Talk About Populations: T-Tests
and ANOVA
Chapter 7. Give me One Good Reason Why: Bivariate Correlation and
Regression
Chapter 8. Using Sample Slopes to Talk About Populations: Inference and
Regression
Chapter 9. It's All Relative: Dichotomies as Independent Variables in
Regression
Chapter 10. Above and Beyond: The Logic of Controlling and the Power of
Nested Regression Models
Chapter 11. Some Slopes are Bigger than Others: Calculating and
Interpreting Beta Coefficients
Chapter 12. Different Slopes for Different Folks: Interaction Effects
Chapter 13. Explaining Dichotomous Outcomes: Logistic Regression
Chapter 14. Visualizing Causal Stories: Path Analysis
Chapter 15. Questioning the Greatness of Straightness: Nonlinear
Relationships
Chapter 16. Problems and Prospects: Regression Diagnostics, Advanced
Techniques, and Where to Go Now
Appendix A: Variables and Indexes from the Datasets Used in the
End-of-Chapter Exercises
Appendix B: 100 Articles That Use Statistics in Less than Scary Ways
Appendix C: Statistical Tables
Appendix D: Answers to Odd-Numbered End-of-Chapter Exercises
Bibliography
Glossary/Index