**Social Statistics: Managing Data, Conducting Analyses, Presenting Results 3rd Edition, ISBN-13: 978-1138228634**

[PDF eBook eTextbook]

Series: Sociology Re-Wired

682 pages

Publisher: Routledge; 3 edition (October 20, 2017)

Language: English

ISBN-10: 113822863X

ISBN-13: 978-1138228634

With a clear and engaging writing style and strong examples from the real world, this text covers current statistical techniques at an introductory level and emphasizes the clear presentation of results to a variety of audiences, making the course more useful to students and their careers. Interconnection features among chapters help students understand how all of the techniques fit together.

**NEW TO THIS EDITION**

– More inter-chapter connections have been added to improve students’ conceptual learning.

– Several examples (on immigration, health, and civil rights) now permeate the text for easy comparison of techniques across chapters.

– The section on managing data is considerably expanded to cover topics such as finding new sources of data, dealing with missing data, and how to combine data reliably.

– Very current examples from the scholarly literature from criminology, education, and health show how researchers use each chapter’s techniques to tell compelling stories.

– Instructors can choose from a variety of greatly expanded materials to enhance their lectures: engaging animations of key concepts; dynamic demonstrations of how statistics change in line with the data; short lectures on difficult-to-explain topics; and in-class exercises that will help students learn how to make sense of statistical results.

**Table of contents**

Preface

Acknowledgments

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

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