Transcription of MULTIVARIATE DATA ANALYSIS - Semantic Scholar
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MULTIVARIATE DATA ANALYSIS - Semantic Scholar
SEVENTH EDITION MULTIVARIATE data ANALYSIS i .-*.'.. ' -4 A Global Perspective Joseph F. Hair, Jr. Kennesaw State University William C. Black Louisiana State University Barry J. Babin University of Southern Mississippi Rolph E. Anderson Drexel University Upper Saddle River Boston Columbus San Francisco New York Indianapolis London Toronto Sydney Singapore Tokyo Montreal Dubai Madrid Hong Kong Mexico City Munich Paris Amsterdam Cape Town CONTENTS Preface xxv About the Authors xxvii Chapter 1 Introduction: Methods and Model Building 1 What Is MULTIVARIATE ANALYSIS ? 3 MULTIVARIATE ANALYSIS in Statistical Terms 4 Some Basic Concepts of MULTIVARIATE ANALYSIS 4 The Variate 4 Measurement Scales 5 Measurement Error and MULTIVARIATE Measurement 7 Statistical Significance Versus Statistical Power 8 Types of Statistical Error and Statistical Power 9 Impacts on Statistical Power 9 Using Power with MULTIVARIATE Techniques 11 A Classification of MULTIVARIATE Techniques 11 Dependence Techniques
What Is Conjoint Analysis? 266 Hypothetical Example of Conjoint Analysis 267 Specifying Utility, Factors, Levels, and Profiles 267 Gathering Preferences from Respondents 268 Estimating Part-Worths 269 Determining Attribute Importance 270 Assessing Predictive Accuracy 270 The Managerial Uses of Conjoint Analysis 271 Comparing Conjoint Analysis ...
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