Multivariate data analysis / Joseph F. Hair, Jr. ... [et al.].

Contributor(s): Hair, Joseph F | Black, William C | Babin, Barry J | Anderson, Rolph E Material type: Text

TextLanguage: English Publication details: Australia : Cengage, c2019. Edition: 8th edDescription: xxviii, 813 p. : ill. ; 26 cmISBN: 978473756540; 1473756545Subject(s): Multivariate analysisDDC classification: 519.535 LOC classification: QA278 | .M85 2010Online resources: Worldcat Details

Contents:

Overview of multivariate methods -- Examining your data -- Exploratory factor analysis -- Cluster analysis -- Multiple regression analysis -- MANOVA:extending ANOVA -- Multiple discriminant analysis -- Logistic regression: regression with a binary dependent variable -- Structural equation modeling: an introduction -- SEM: confirmatory factor analysis -- Testing structural equation models -- Advanced SEM topics -- Partial least squares structural equation modeling (PLS-SEM).

Summary: « The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today's world of analytics.Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. »--

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode	Item holds
Text	EWU Library Reserve Section	Non-fiction	519.535 MUL 2019 (Browse shelf(Opens below))	C-1	Not For Loan		29790
Text	EWU Library Circulation Section	Non-fiction	519.535 MUL 2019 (Browse shelf(Opens below))	C-2	Checked out	17/12/2019	29791

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Includes bibliographical references and index.

Overview of multivariate methods --
Examining your data --
Exploratory factor analysis --
Cluster analysis --
Multiple regression analysis --
MANOVA:extending ANOVA --
Multiple discriminant analysis --
Logistic regression: regression with a binary dependent variable --
Structural equation modeling: an introduction --
SEM: confirmatory factor analysis --
Testing structural equation models --
Advanced SEM topics --
Partial least squares structural equation modeling (PLS-SEM).

« The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today's world of analytics.Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques. »--

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