Social Statistics
eBook - ePub

Social Statistics

Managing Data, Conducting Analyses, Presenting Results

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Social Statistics

Managing Data, Conducting Analyses, Presenting Results

About this book

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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Yes, you can access Social Statistics by Thomas J. Linneman in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Detailed Contents
  8. Preface to the Fifth Edition
  9. Acknowledgments
  10. Chapter 1: Life in a Data-Laden Age: Finding and Managing Datasets
  11. Chapter 2: The Art of Visual Storytelling: Creating Accurate Tables and Graphs
  12. Chapter 3: Summarizing Center and Diversity: Basic Descriptive Statistics
  13. Chapter 4: Using Sample Crosstabs to Talk About Populations: The Chi-Square Test
  14. Chapter 5: Using a Sample Mean or Proportion to Talk About a Population: Confidence Intervals
  15. Chapter 6: Using Multiple Sample Means to Talk About Populations: t-Tests and ANOVA
  16. Chapter 7: Give Me One Good Reason Why: Bivariate Correlation and Regression
  17. Chapter 8: Using Sample Slopes to Talk About Populations: Inference and Regression
  18. Chapter 9: It’s All Relative: Dichotomies as Independent Variables in Regression
  19. Chapter 10: Above and Beyond: The Logic of Controlling and the Power of Nested Regression Models
  20. Chapter 11: Some Slopes Are Bigger Than Others: Calculating and Interpreting Beta Coefficients
  21. Chapter 12: Different Slopes for Different Folks: Interaction Effects
  22. Chapter 13: Explaining Dichotomous Outcomes: Logistic Regression
  23. Chapter 14: Visualizing Causal Stories: Path Analysis
  24. Chapter 15: Questioning the Greatness of Straightness: Nonlinear Relationships
  25. Chapter 16: Problems and Prospects: Regression Diagnostics, Advanced Techniques, and Where to Go Now
  26. Appendix A: Variables and Indexes from the Datasets Used in the End-of-Chapter Exercises
  27. Appendix B: 125 Articles That Use Statistics in Less than Scary Ways
  28. Appendix C: Statistical Tables
  29. Appendix D: Answers to Odd-Numbered End-of-Chapter Exercises
  30. Bibliography
  31. Index