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This book offers a comprehensive approach to multivariate statistical analyses. It provides theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications.

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Statistical Analysis of Management Data provides a comprehensive approach to multivariate statistical analyses that are important for researchers in all fields of management, including finance, production, accounting, marketing, strategy, technology, and human resources. This book is especially designed to provide doctoral students with a theoretical knowledge of the concepts underlying the most important multivariate techniques and an overview of actual applications. It offers a clear, succinct exposition of each technique with emphasis on when each technique is appropriate and how to use it. This second edition, fully revised, updated, and expanded, reflects the most current evolution in the methods for data analysis in management and the social sciences. In particular, it places a greater emphasis on measurement models, and includes new chapters and sections on:

confirmatory factor analysis

canonical correlation analysis

cluster analysis

analysis of covariance structure

multi-group confirmatory factor analysis and analysis of covariance structures.

Featuring numerous examples, the book may serve as an advanced text or as a resource for applied researchers in industry who want to understand the foundations of the methods and to learn how they can be applied using widely available statistical software.

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Multivariate Normal Distribution.- Reliability Alpha, Principle Component Analysis, and Exploratory Factor Analysis.- Confirmatory Factor Analysis.- Multiple Regression with a Single Dependent Variable.- System of Equations.- Canonical Correlation Analysis.- Categorical Dependent Variables.- Rank-Ordered Data.- Error in Variables - Analysis of Covariance Structure.- Cluster Analysis.- Analysis of Similarity and Preference Data.- Appendices.

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From the reviews of the second edition:
"This edition deals with statistical topics useful to researchers and graduate students in many fields of management ... . updated and expanded according to current needs and demands of the field. ... I really enjoyed reading this book. ... In summary, it is a nicely packaged book for the intended audience and I have no hesitation to recommend it as a textbook for a graduate course in management sciences and related areas. ... used as an excellent reference book for researchers in these areas." (Technometrics, Vol. 52 (3), August, 2010)

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