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Offers comprehensive treatment of statistical analysis as applied to management data
Fully revised, expanded, and updated from previous edition, featuring the most current applications of techniques and methods
Includes numerous worked examples, statistical tables, and description of data sets
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
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.
Content Level »Research
Keywords »Analysis - Cluster analysis - Factor analysis - Measure - Multiple Regression - Normal distribution - Statistical Analysis - data analysis - linear optimization - management - statistical software