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Multiple Regression: A Primer
Contributor(s): Allison, Paul D. (Author)

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 ISBN: 0761985336     ISBN-13: 9780761985334
Publisher: Sage Publications, Inc
OUR PRICE: $80.75  

Binding Type: Paperback - See All Available Formats & Editions
Published: December 1998
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Annotation: This extremely well-written, straightforward book gives you the flexibility to cover regression more thoroughly than do most statistics texts, without financially taxing your students.??It is written at a level that undergraduate students can easily comprehend.

Click for more in this series: Undergraduate Research Methods & Statistics in the Social Sc
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Social Science | Research
Dewey: 519.536
LCCN: 98040066
Series: Undergraduate Research Methods & Statistics in the Social Sc
Physical Information: 0.46" H x 6.2" W x 9.08" L (0.68 lbs) 224 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.

This textbook is designed for the first social statistics course a student takes and, unlike other titles aimed at a higher level, has been specifically written with the undergraduate student in mind.


Contributor Bio(s): Allison, Paul D.: - 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 in statistics at the University of Chicago and the University of Pennsylvania. He has published eight books and more than 60 articles on topics that include linear regression, log-linear analysis, logistic regression, structural equation models, inequality measures, missing data, and survival analysis.

Much of his early research focused on career patterns of academic scientists. At present, his principal research is on methods for analyzing longitudinal data, especially those for determining the causes and consequences of events, and on methods for handling missing data.

A former Guggenheim Fellow, Allison received the 2001 Lazarsfeld Award for distinguished contributions to sociological methodology. In 2010 he was named a Fellow of the American Statistical Association. He is also a two-time winner of the American Statistical Association's award for "Excellence in Continuing Education."
 
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