The Basics and Beyond
Published December 9th 2010 by Routledge – 560 pages
With just the right level of detail, and a graphically innovative approach, this book carefully guides students through the statistical techniques they will encounter in the real world. The basics are covered in a non-intimidating way for your students, plus multiple regression, interaction effects, logistic regression, non-linear effects. The book uses three datasets throughout: General Social Survey, American National Election Studies, World Values Survey, and includes SPSS demonstrations at the end of each chapter.
Most of your students will likely take only one stats course and use only one stats book in their college careers. This one innovatively equips them for their worlds ahead, regardless of the career paths they follow.
"Finally, here is a Statistics textbook that I can assign to my students without apology or reservation. It manages the tricky feat (I’d once believed it impossible) of being highly accessible to introductory students while still containing enough depth and nuance of more advanced topics, as used in real research contexts and as I teach them in my course."—Nathan Wright, Sociology, Bryn Mawr College
"Tom Linneman has written an outstanding –and unique –social statistics text. Written with uncommon wit and clarity, Social Statistics addresses both basic and advanced techniques in a way that will engage the most reluctant undergraduate. The examples based on actual data and published research greatly increase the value of this impressive contribution."—Matt Huffman, Sociology, University of California, Irvine
"Social Statistics: The Basics and Beyond does an excellent job in explaining regression logic in simple, accesible terms, and is nowhere near as intimidating for students as many existing regression books. Paired with Linneman’s humorous and approachable writing style, this is a unique book that students will enjoy using. "—Yingyi Ma, Sociology, Syracuse University
Part 1: The Basics 1. Data: What They Are and What We Do With Them 2. Telling Visual Stories: Tables and Graphs 3. The Center and What Surrounds It: Measures of Central Tendency and Variation 4. Speaking Beyond the Sample with Crosstabs: The Chi-Square Test 5. Speaking Beyond the Sample with a Mean or Proportion: Confidence Intervals 6. Speaking Beyond the Sample with More Than One Mean: T-Tests and ANOVA 7. Ratio-Level Relationships: Bivariate Correlation and Regression 8. Speaking Beyond the Sample with Slopes: Inference and Regression Part 2: Beyond the Basics 9. Dichotomies as Independent Variables: Reference Grouping 10. The Logic and Power of Controlling: Nested Regression Models 11. Comparing and Contrasting Regression Slopes: Beta Coefficients 12. Catching Up or Falling Behind: Interaction Effects 13. Predicting Probabilities Instead of Values: Logistic Regression 14. Telling Visual Stories with Regression: Path Analysis 15. Questioning the Greatness of Straightness: Nonlinear Relationships