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by: William D. Berry
List Price: $16.95Amazon.com's Price: $15.25 You Save: $1.70 (10%)Prices subject to change. Availability: Usually ships in 24 hours
Binding: Paperback
Dewey Decimal Number: 300.1519536
EAN: 9780803942639
ISBN: 080394263X
Label: Sage Publications, Inc
Manufacturer: Sage Publications, Inc
Number Of Items: 1
Number Of Pages: 104
Publication Date: February 25, 1993
Publisher: Sage Publications, Inc
Sales Rank: 325393
Studio: Sage Publications, Inc
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Editorial Review:
Product Description:
Through the use of careful explanations and examples, Berry shows the reader how to consider whether the assumptions of multiple regression are actually satisfied in a particular research project. Beginning with a brief review of the regression assumptions as they are typically presented in textbooks, Berry moves on to explore in detail the 'substantive' meaning of each assumption (such as lack of measurement error, absence of specification error, linearity, homoscedasticity, and lack of autocorrelation). Aimed at improving social science applications of regression, this volume is a must for every student’s and researcher’s library.
Customer Reviews
Average Rating: 
Rating: - Delivers all that's hoped
While equation heavy at times, after reading this book one gains a great deal of understanding as to the weaknesses/boundary conditions for inference of OLS regression. For those with little understanding of the basic mechanics of regression, this is NOT a good starting place, but those with some working knowledge this book is invaluable.
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