Principal Components Analysis

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A01=George H. Dunteman
Author_George H. Dunteman
Category=JHBC
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
green book
green books
little green book
little green books
QASS
Quantitative Applications in the Social Sciences
Quantitative/Statistical Research
QuantitativeStatistical Research

Product details

  • ISBN 9780803931046
  • Weight: 140g
  • Dimensions: 139 x 215mm
  • Publication Date: 12 Jul 1989
  • Publisher: SAGE Publications Inc
  • Publication City/Country: US
  • Product Form: Paperback
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For anyone in need of a concise, introductory guide to principle components analysis, this book is a must. Through an effective use of simple mathematical geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures)--and by minimizing the use of matrix algebra--the reader can quickly master and put this technique to immediate use. In addition, the author shows how this technique can be used in tandem with other multivariate analysis techniques-such as multiple regression and discriminant analysis.

Flexible in his presentation, Dunteman speaks to students at differing levels, beginning or advanced, bringing them new material that is both accessible and useful.

"Two of the best attributes of the book are the prolific use of good examples--primarily social science based--and the repetition basics. . . . This book is a useful addition to the work in this area."

--Issues in Researching Sexual Behavior

"Most academic researchers and practitioners will benefit from the experience and practical advice in this paper. Not only does Dunteman contribute to our understanding of principal components, but he suggests several good ideas on how to make wider and better use of the technique."

--Journal of Marketing Research

"A concise, introductory guide with a minimal use of matrix algebra and with multiple real-life examples."

--Bulletin de Methodologie Sociologique

"An interesting and useful little book."

--Journal of Classification

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