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Regression Analysis for the Social Sciences is a well-designed textbook for upper-level undergraduate and graduate-level courses in social statistics. The textbook achieves a seamless balance between theory and practice. It provides a gentle yet thorough review of statistical theory of regression models, all the while focusing on practical application of regression models. The textbook provides an indispensable guide for learning the complexities and mechanics of regression models and analysis in the social sciences. 



-Steven Prus, Sociology and Anthropology, Carleton University



Teaching graduate statistics in the social sciences is challenging because our students arrive with such diverse levels of mathematics preparation. Rachel Gordon does an exceptional job of explaining complex statistical concepts using straightforward language and intuitive, relevant, examples. This book allows students with a range of quantitative backgrounds and comfort levels to understand and apply the material, and builds their confidence in using statistics. 
-Amy Kate Bailey, Sociology, University of Illinois at Chicago
Gordon’s textbook provides an insightful and contemporary approach to methodological instruction in the social sciences. It engages current strategies for modelling social behavior using regression, while at the same time providing plenty of applied orientation to allow the student to acquire pragmatic knowledge of how best to tackle contemporary research problems. The book is distinguished for its ample use of excerpts from recent social science literature and its attention to a key range of pragmatic issues faced by investigators. The thorough integration of a major statistical package (Stata), including examples of code, links to datasets, and illustrative results, is another feature that will be widely appreciated. For instructors and students often frustrated by other texts – too simplistic or too formal, or emphasizing examples far from current social science – Gordon’s Regression Analysis for the Social Sciences will likely fit the bill. 
- Michael J White, Sociology, Brown University

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