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Paul D. Allison - Multiple Regression: A Primer - 9780761985334 - V9780761985334
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Multiple Regression: A Primer

€ 105.07
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Description for Multiple Regression: A Primer Paperback. Multiple regression is at the heart of social science data analysis, because it deals with explanations and correlations. This book is a complete introduction to this statistical method. Series: Undergraduate Research Methods & Statistics in the Social Sciences. Num Pages: 224 pages, tables, figures, references, bibliography, index. BIC Classification: JHBC. Category: (U) Tertiary Education (US: College). Dimension: 228 x 154 x 12. Weight in Grams: 310.
Presenting topics in the form of questions and answers, this popular supplemental text offers a brief introduction on multiple regression on a conceptual level. Author Paul D. Allison answers the most essential questions (such as how to read and interpret multiple regression tables and how to critique multiple regression results) in the early chapters, and then tackles the less important ones (for instance, those arising from multicollinearity) in the later chapters. With this organization, readers can stop at the end of any chapter and still feel like they′ve already gotten the meat of the subject.

Product Details

Publisher
SAGE Publications Inc
Number of pages
224
Format
Paperback
Publication date
1999
Series
Undergraduate Research Methods & Statistics in the Social Sciences
Condition
New
Number of Pages
224
Place of Publication
Thousand Oaks, United States
ISBN
9780761985334
SKU
V9780761985334
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-2

About Paul D. Allison
Paul D. Allison, Ph.D., is Professor of Sociology at the University of Pennsylvania where he teaches graduate courses in methods and statistics. He is also the founder and president of Statistical Horizons LLC which offers short courses on a wide variety of statistical topics. After completing his doctorate in sociology at the University of Wisconsin, he did postdoctoral study ... Read more

Reviews for Multiple Regression: A Primer
"I find the concept for this approach to teaching undergraduate research methods and statistics innovative and exciting. The idea of ‘core’ texts supplemented by satellite volumes covering specific, important topics makes absolute sense." 
Barbara Heyl

Goodreads reviews for Multiple Regression: A Primer


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