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Regression Analysis for the Social Sciences, by Rachel A. Gordon
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The book provides graduate students in the social sciences with the basic skills that they need to estimate, interpret, present, and publish basic regression models using contemporary standards.
Key features of the book 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.
This book is for a one-semester course. For a two-semester course, see www.routledge.com/books/details/9780415875363/
- Sales Rank: #756889 in Books
- Published on: 2010-02-26
- Ingredients: Example Ingredients
- Original language: English
- Number of items: 1
- Dimensions: 9.30" h x 1.30" w x 7.60" l, 2.75 pounds
- Binding: Hardcover
- 632 pages
Review
"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
"At last, an author who recognizes that demystifying statistics is the first step in teaching statistics, who realizes that teaching students to understand statistics is not the same thing as teaching them to do statistics. Rachel Gordon offers just the right mix of statistical theory and statistical training in a straightforward, accessible manner that will leave graduate students grateful that their instructor picked her textbook for their class."―Robert Crosnoe, Sociology, University of Texas at Austin
"Regression Analysis for the Social Sciences is a masterpiece that I predict will be widely used in statistics courses in multiple disciplines. The contemporary, diverse, and policy-relevant illustrations are bound to intrigue and instruct students from an array of backgrounds. This book will undoubtedly become an invaluable resource."―Lindsay Chase-Lansdale, Education and Social Policy, Northwestern University
About the Author
Rachel A. Gordon is an Associate Professor in the Department of Sociology and the Institute of Government and Public Affairs at the University of Illinois at Chicago. Professor Gordon has multidisciplinary substantive and statistical training and a passion for understanding and teaching applied statistics.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Horrible Horrible Horrible Layout....
By TragicRead
This book may have some good qualities but because it is so poorly organized and confusing if they do actually exist they are probably hidden away in an appendix at the end. If you love love love statistics and are dedicated to advancing your knowledge you may learn something but you can count on extreme frustration. If you only using this book because you are required to use it, consider dropping the class. I have never felt the need to punch a book out of anger before but after 4 weeks with this book the cover looks like a side of beef in Rocky. This book requires so much flipping around between appendices, equations, and screen shots because tables, charts, images are all placed at the end of a book. So what if a chart is referenced in each sentence, it needs to be placed at the end of the book... but there no page numbers to guide you, and the screen shots that are included in text aren't labeled but are referenced as labeled in the text just to solidify that you have no idea what is going on. Add to that the review questions, review exercises, chapter exercises, course exercises and you will be so confused by what you are supposed to do you won't have to worry about not understanding the difficult concepts of regression.
0 of 0 people found the following review helpful.
Pretty good, need some background though
By Caro
This textbook gives good explanation of linear modelling, but you do need some background because a lot of terms are not explicitly explained.
0 of 0 people found the following review helpful.
makes stats seem easy
By Allison Ballweber
makes stats seem easy. really clear, simple, and straightforward explanations
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