Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The sixth 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. New features: - HBAT - New Database. The emphasis in the field on improved measurement, particularly multi-item constructs, led the authors to develop HBAT. HBAT provides an expanded teaching tool with the various techniques that are comparable to the HATCO database. - "Rules of Thumb" for the application and interpretation of the various technqiues presented in the book. The "Rules of Thumb" are highlighted throughout the chapters to facilitate use. These guidelines assist in the utilization of techniques used in the book. - Expanded coverage of structural equations modeling. Three new chapters provide a comprehensive introduction to the structural equations modeling technique. Chapter 10 provides an overview of structural equation modeling. Chapter 11 focuses on confirmatory factor analysis, and Chapter 12 covers issues in estimating structural models. - Additional support for instructors! In addition to the Instructor's Manual and PowerPoint presentatiions, the Companion Website, accessible at www.prenhall.com/hair, provides a wealth of materials for instructors and students. It provides additional resources as well as a forum for identifying new topics and statistical methods. Data sets are also available for students.
