Statistical Analysis of Management Data
Description
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 third 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, this edition includes:
· A new chapter on the analysis of mediation and moderation effects
· Examples using STATA for most of the statistical methods
· Example of XLSTAT applications
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 particularly relevant and typically used in management research, and to learn how they can be applied using widely available statistical software.
Reviews / Votes
From the book reviews:
"The book covers the main statistical techniques that can be used in analyzing management data. Due to its complexity, the book is dedicated to doctoral students, having a good background both in mathematics and in statistics. The book is full of illustrative examples, helping the readers to better understand the theoretical notions and the statistical techniques used throughout it. . the book is also intended for applied researchers in industry, or other practitioners in the management field." (Marina Gorunescu, zbMATH, Vol. 1298, 2014)
"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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