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

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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.


– 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


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


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