Canonical analysis and factor comparison /

An advanced study which presumes a knowledge of multiple regression and factor analysis techniques, this paper considers two techniques for comparing entire sets of data, and develops the canonical correlation model as an extension of regression analysis in which there are several dependent variable...

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Bibliographic Details
Main Author: Levine, Mark S.
Format: eBook
Language:English
Published: Newbury Park, [Calif.] ; London : SAGE, [1977]
Series:Quantitative applications in the social sciences ; 07-006.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:An advanced study which presumes a knowledge of multiple regression and factor analysis techniques, this paper considers two techniques for comparing entire sets of data, and develops the canonical correlation model as an extension of regression analysis in which there are several dependent variables.
Item Description:Electronic resource.
Physical Description:1 online resource (62 pages) : illustrations.
Bibliography:Includes bibliographical references.
ISBN:9781412983563 (ebook) :