Statistical Analysis of Management Data

1: Introduction.- 2: Multivariate Normal Distribution.- 3: Reliability Alpha, Principles Component Analysis and Exploratory Factor Analysis.- 4: Confirmatory Factor Analysis.- 5: Multiple Regression with a Single Dependent Variable.- 6: System of Equations.- 7: Canonical Correlation Analysis.- 8: Categorical Dependent Variables.- 9: Rank-Ordered Data.- 10: Error in Variables - Analysis of Covariance Structure - Structural Equation Models.- 11: Testing Mediation and Moderation Effects.- 12: Cluster Analysis.- 13: Analysis of Similarity and Preference Data.- Appendices: A: Rules in Matrix Algebra.- B: Statistical Tables.- C: Description of Data Sets.

Hubert Gatignon is the Claude Janssen Chaired Professor of Business Administration at INSEAD. He joined INSEAD in 1994 from the Wharton School of the University of Pennsylvania where he was Professor of Marketing. He holds a Ph.D. in Marketing from the University of California, Los Angeles, and the Habilitation à Diriger des Recherches from Université Paul Cézanne-Aix Marseille.His research interests involve (1) the marketing of innovations (e.g., modeling the factors influencing the adoption and diffusion of innovations), (2) marketing strategy (e.g., explaining and econometrically measuring how the effects of marketing mix variables change over conditions and over time), and (3) statistical analysis of management data.Dr. Gatignon's publications have appeared in Communications Research, International Journal of Research in Marketing, Journal of Business Research, Journal of Consumer Research, Journal of International Business Studies, Journal of Law, Economics and Organization, Journal of Marketing, Journal of Marketing Research, Journal of Retailing, Management Science, Marketing Letters, Marketing Science, Planning Review, and Strategic Management Journal. He has recently edited New Products and Services Development (4 volumes), and he is a co-author of MARKSTRAT3: The Strategic Marketing Simulation, ADSTRAT: An Advertising Decision Support System, and COMPTRACK: A Competitive Tracking Software. He co-edited The INSEAD-Wharton Alliance on Globalizing: Strategies for Building Successful Global Businesses.Dr. Gatignon is an Associate Editor of the Journal of Marketing Research, and he serves on the editorial boards of International Journal of Research in Marketing (he was the Editor-in-Chief from 2000 through 2006), Journal of Business-to-Business Marketing, Journal of Marketing, Journal of the Academy of Marketing Science, Marketing Letters, Marketing Science, and Recherche et Applications en Marketing (he was the Editor-in-Chief from 1998 through 2000). He has

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)