Multivariate data analysis /
Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The eighth edition incorporates pivotal advances in technology that will assist students in gaining a firm understanding of statistical and managerial principles so as to develop a...
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Main Authors: | |
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Group Author: | ; ; |
Published: |
Cengage,
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Publisher Address: | Andover, Hampshire, United Kingdom : |
Publication Dates: | [2019] |
Literature type: | Book |
Language: | English |
Edition: | Eighth edition. |
Subjects: | |
Summary: |
Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The eighth edition incorporates pivotal advances in technology that will assist students in gaining a firm understanding of statistical and managerial principles so as to develop a "comfort zone" not only for the statistical, but also the practical issues involved. |
Carrier Form: | xvii, 813 pages : illustrations ; 26 cm |
Bibliography: | Includes bibliographical references and index. |
ISBN: |
9781473756540 1473756545 |
Index Number: | QA278 |
CLC: | O212.4 |
Call Number: | O212.4/H153/8th ed. |
Contents: | 1. Overview of multivariate methods -- Section I: Preparing for multivariate analysis -- Chapter 2: Examining your data -- Section II: Interdependence techniques -- Chapter 3: Exploratory factor analysis -- Chapter 4: Cluster analysis -- Section III: Dependence techniques -- metric outcomes -- Chapter 5: Multiple regression analysis -- Chapter 6: MANOVA:extending ANOVA -- Section IV: Dependence techniques -- non-metric outcomes -- Chapter 7: Multiple discriminant analysis -- Chapter 8: Logistic regression: regression with a binary dependent variable -- Section V: Moving beyond the basics -- Chapter 9: Structural equation modeling: an introduction -- Chapter 10: SEM: confirmatory factor analysis -- Chapter 11: Testing structural equation models -- Chapter 12: Advanced SEM topics -- Chapter 13: Partial least squares structural equation modeling (PLS-SEM). |