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Quantitative Applications in the Social Sciences #13: Introduction to Factor Analysis: What It Is and How to Do It

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Quantitative Applications in the Social Sciences #13: Introduction to Factor Analysis: What It Is and How to Do It Cover

 

Synopses & Reviews

Synopsis:

Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.

Synopsis:

Designed for potential users of factor analysis who are willing to "let the computer do the work," but are interested in gaining a firm grasp of the conceptual foundations of the technique. It does not presume advanced mathematical or statistical skills on the reader's part.

Product Details

ISBN:
9780803911659
Author:
Kim, Jae-on
Publisher:
Sage Publications (CA)
Editor:
Kim, Jae-On
Author:
Mueller, Charles W.
Author:
Kim, Jae-On
Location:
Beverly Hills, Calif. :
Subject:
Research
Subject:
Factor analysis
Subject:
Factor analysis, Statistical.
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Copyright:
Edition Description:
Bibliography: p. 71-75.
Series:
Quantitative Applications in the Social Sciences
Series Volume:
13
Publication Date:
19781131
Binding:
TRADE PAPER
Language:
English
Illustrations:
Yes
Pages:
80
Dimensions:
8.52x5.38x.23 in. .20 lbs.

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Related Subjects

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Reference » Research
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Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Quantitative Applications in the Social Sciences #13: Introduction to Factor Analysis: What It Is and How to Do It New Trade Paper
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$18.00 In Stock
Product details 80 pages Sage Publications - English 9780803911659 Reviews:
"Synopsis" by , Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.
"Synopsis" by , Designed for potential users of factor analysis who are willing to "let the computer do the work," but are interested in gaining a firm grasp of the conceptual foundations of the technique. It does not presume advanced mathematical or statistical skills on the reader's part.
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