Features include:

• Interweaving the teaching of statistical concepts with examples developed for the course from publicly-available social science data or drawn from the literature.
• Thorough integration of teaching statistical theory with teaching data processing and analysis.
• Teaching of both SAS and Stata "side-by-side" and use of chapter exercises in which students practice programming and interpretation on the same data set and course exercises in which students can choose their own research questions and data set.

Here's what real professors are saying about Regression Analysis For The Social Sciences, Routledge's first graduate-level social statistics book:

"Regression Analysis for the Social Sciences gives graduate students and their teachers an exceptionally well-written introduction to statistical concepts along with precise, step-by-step instructions for putting those concepts into practice. By interweaving conceptual discussion with illustrations from social science literature and how-to examples using Stata, SAS, Excel and national data sets, Gordon has created a uniquely effective teaching tool." –Margaret Usdansky, Sociology, Syracuse University

“A remarkable book! Every quantitative graduate student in a social science discipline needs to master a diverse arsenal of regression-based tools. By combining clear explanation with real-world SAS and STATA examples and exercises, Gordon provides just what the doctor ordered.”— Greg Duncan, Education, University of California, Irvine