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Principal Components Analysis

By: (Author) George Henry Dunteman

Manufactured on Demand
Delivery in 35 days

Ksh 6,650.00

Format: Paperback / Softback

ISBN-10: 0803931042

ISBN-13: 9780803931046

Series: Quantitative Applications in the Social Sciences

Publisher: SAGE Publications Inc

Imprint: SAGE Publications Inc

Country of Manufacture: US

Country of Publication: GB

Publication Date: Jul 12th, 1989

Print length: 96 Pages

Weight: 116 grams

Dimensions (height x width x thickness): 14.00 x 21.40 x 0.90 cms

Product Classification: Social research & statistics

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  • Reviews

Demonstrating the application of this analysis technique to the social sciences, the author explains how it can be used to determine the number of factors to be retained in a factor analysis; in selecting a subset of variables to represent a larger set; and much more.

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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