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Multivariate data analysis : a global perspective / Joseph F. Hair Jr., William C. Black, Barry J. Babin and Rolph E. Anderson.

By: Contributor(s): Material type: TextTextPublication details: Upper Saddle River, New Jersey : Pearson Education, c2010Edition: Seventh edition. | Low Price editionDescription: xxviii, 800 pages : illustrations ; 26 cmISBN:
  • 9789810695996
Subject(s): LOC classification:
  • QA 278 .H35 2010
Contents:
Introduction: Methods and model building -- Section I. Understanding and preparing for multivariate analysis. Cleaning and transforming data -- Factor analysis -- Section II. Analysis using dependence techniques. Simple and multiple regression -- Canonical correlation -- Conjoint analysis -- Multiple discriminant analysis and logistic regression -- ANOVA and MANOVA -- Section III. Analysis using interdependence techniques. Grouping data with cluster analysis -- MDS and correspondence analysis -- Section IV. Structural equations modeling. SEM: an introduction -- Applications of SEM.
Summary: Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.
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Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Gen. Ed. - COE GC QA 278 .H35 2010 (Browse shelf(Opens below)) c.1 Available NULIB000008385

Includes bibliographical references and index.

Introduction: Methods and model building -- Section I. Understanding and preparing for multivariate analysis. Cleaning and transforming data -- Factor analysis -- Section II. Analysis using dependence techniques. Simple and multiple regression -- Canonical correlation -- Conjoint analysis -- Multiple discriminant analysis and logistic regression -- ANOVA and MANOVA -- Section III. Analysis using interdependence techniques. Grouping data with cluster analysis -- MDS and correspondence analysis -- Section IV. Structural equations modeling. SEM: an introduction -- Applications of SEM.

Offering an applications-oriented approach which focuses on the use of each technique rather than its mathematical derivation, this textbook introduces a six-step framework for organising and discussing multivariate data analysis techniques.

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