Applied statistics : from bivariate through multivariate techniques

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Title:

Author:

Warner, Rebecca M.

ISBN:

9780761927723

Personal Author:

Warner, Rebecca M.

Publication Information:

Thousand Oaks, Calif. : SAGE Publications, c2007.

Physical Description:

xxvi, 1100 p. : ill. ; 26 cm.

Abstract:

"Applied Statistics: From Bivariate Through Multivariate Techniques provides a clear introduction to widely used topics in bivariate and multivariate statistics, including multiple regression, discriminant analysis, MANOVA, factor analysis, and binary logistic regression. Author Rebecca M. Warner presents these concepts in an accessible way that does not requite formal mathematics training." "This is an excellent core textbook for advanced undergraduate and graduate students across the social and behavioral sciences who are studying statistics in courses such as Advanced Undergraduate Statistics Intermediate Statistics, Statistics II, and Applied Multivariate Statistics."--BOOK JACKET.

Subject Term:

Social sciences -- Statistical methods.

Psychology -- Statistical methods.

Multivariate analysis.

Electronic Access:

Table of contents only http://www.loc.gov/catdir/toc/ecip072/2006033700.html

Copies:

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Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIEMSA	1:GEN-BOOK	33168025402211	519.535 W283A 2007	1	Searching... Unknown

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Summary

With an approach that does not require formal mathematics (equations are accompanied by verbal explanations), this textbook provides a clear introduction to widely used topics in multivariate statistics, including Multiple Regression, Discriminant Analysis, MANOVA, Factor Analysis, and Binary Logistic Regression. Each chapter presents a complete empirical research example to illustrate the application of a specific method, such as Multiple Regression. Although SPSS examples are used throughout the book, the conceptual material will be helpful for users of different programs. Each chapter has a glossary and comprehension questions.