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eBook Canonical Analysis and Factor Comparison (Quantitative Applications in the Social Sciences) ePub

eBook Canonical Analysis and Factor Comparison (Quantitative Applications in the Social Sciences) ePub

by Mark S. Levine

  • ISBN: 0803906552
  • Category: Mathematics
  • Subcategory: Math Science
  • Author: Mark S. Levine
  • Language: English
  • Publisher: Sage Publications, Incorporated; 1 edition (April 1, 1977)
  • Pages: 64
  • ePub book: 1344 kb
  • Fb2 book: 1577 kb
  • Other: azw txt lit lrf
  • Rating: 4.5
  • Votes: 748

Description

Series: Quantitative Applications in the Social Sciences (Book 6). Paperback: 64 pages. See and discover other items: factor analysis, quantitative analysis, application of quantitative methods.

Series: Quantitative Applications in the Social Sciences (Book 6).

Volume: 6. Series: Quantitative Applications in the Social Sciences. April 1977 64 pages SAGE Publications, Inc. Download flyer Recommend to Library. 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.

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.

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.

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Author : Mark S. Levine

Author : Mark S. Levine. Users who liked this book, also liked.

Quantitative applications in the social sciences ; no. 07-006. Subjects: Canonical correlation (Statistics).

Results of canonical correlation analysis indicated that the advanced error factor was more responsible for . This has been one of the most incendiary and controversial questions in the social sciences in the past few decades.

This has been one of the most incendiary and controversial questions in the social sciences in the past few decades.

Canonical Analaysis and Factor Comparison. A discussion of robust procedures in multivariate analysis. In The Use of Multivariate Statistics in Studies on Wildlife Habitat, ed. . Sage University paper series Quantitative Applications in the Social Sciences, Series No. Beverly Hills and London: Sage Publications. Marcus, . and Minc, H. 1968. Forest Service General Technical Report RM-87. Canonical analysis: some relations between canonical correlation, factor analysis, discriminant function analysis, and scaling theory. Psychometric Monograph 1. oogle Scholar.

Canonical analysis and factor comparison. Newbury Park, CA: Sage. Canonical correlation analysis: Uses and interpretation.

It illustrates how to do factor analysis with several of the more popular packaged computer programs. Other readers will always be interested in your opinion of the books you've read. Whether you've loved the book or not, if you give your honest and detailed thoughts then people will find new books that are right for them. 1. Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences).

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.