Multiple Regression and Causal Analysis

By McClendon, McKee J. McClendon, McKee J. and McKee J. McClendon

Book Overview

Usually, multiple regression and causal analysis are treated as separate topics in separate books. McClendon has integrated the two areas within one text, oriented to their application in the social... This description may be from another edition of this product.

• Format: Hardcover
• Language: English
• ISBN: 1577662431
• ISBN13: 9781577662433
• Release Date: April 2002
• Publisher: Waveland Pr Inc
• Length: 376 Pages
• Weight: 1.74 lbs.
• Dimensions: 9.1" x 0.8" x 7.1"

Customer Reviews

regression make accessible

The author of this book has made a determined effort to write an introduction to regression analysis which will be accessible to readers who want to learn regression but who lack strong backgrounds in mathematical statistics. Folks such as these, and I consider myself one of them, are quite capable of doing substantively interesting and useful research if they are given an opportunity to acquire statistical tools such as multiple regression without first working through proofs and derivations that outstrip their mathematical knowledge. As such, McClendon's text provides a solid foundation for those who wish to use multiple regression in a creditable way on practical problems of general interest. This book is not, however, a useful substitute for the kind of text used in a first course in econometrics or regression theory. This limitation, however, should come as no surprise: the author is clear as to his practical, mathematically non-formal purpose from the outset. All tolled, this is a useful text which covers a broader range of material than other books of its type.