This book is an easily accessible and comprehensive guide which helps make sound statistical decisions, perform analyses, and interpret the results quickly using Stata. It includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression and descriptive statistics. It is aimed at those wishing to know more about the process, data management, and most commonly used methods in market research using Stata.

The book offers readers an overview of the entire market research process from asking market research questions to collecting and analyzing data by means of quantitative methods. It is engaging, hands-on, and includes many practical examples, tips, and suggestions that help readers apply and interpret quantitative methods, such as regression, factor, and cluster analysis. These methods help researchers provide companies with useful insights.

Allows readers to easily translate theory into practice, using tables that show exactly how to make statistical decisions and execute these in Stata Provides a comprehensive overview of Stata's market research process Includes step-by-step tutorials and case studies that illustrate how to make sound statistical decisions, perform analyses in Stata, and interpret the results Includes advanced coverage of ANOVA, factor, and cluster analyses in Stata, as well as essential regression Allows the reader to master advanced statistical techniques in Stata without becoming entangled in mathematical technicalities

Autorentext

Marko Sarstedt is chaired professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany). His main research is in the application and advancement of structural equation modeling methods to further the understanding of consumer behavior and to improve marketing decision-making. His research has been published in journals such as Journal of Marketing Research, Journal of the Academy of Marketing Science, Organizational Research Methods, MIS Quarterly, and International Journal of Research in Marketing. Marko has co-edited several special issues of leading journals and co-authored several widely adopted textbooks, including "A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)" (together with Joe F. Hair, G. Tomas M. Hult, and Christian M. Ringle). Erik Mooi is senior lecturer at the University of Melbourne (Australia). His main interest is in business-to-business marketing and works on topics such as outsourcing, inter-firmcontracting, innovation, technology licensing, and franchising using advanced econometrics. His research has been published in journals such as Journal of Marketing, the Journal of Marketing Research, the International Journal of Research in Marketing, and the Journal of Business Research. He is also program director at the Centre for Workplace Leadership, a fellow at the EU centre for shared complex challenges, as well as a fellow at the Centre for Business Analytics at Melbourne Business School.

Inhalt
Chapter 1: Introduction.- Chapter 2: The Market Research Process.- Chapter 3: Data.- Chapter 4: Getting Data.- Chapter 5: Descriptive Statistics.- Chapter 6: Hypothesis Testing.- Chapter 7: Regression Analysis.- Chapter 8: Factor Analysis.- Chapter 9: Cluster Analysis.- Chapter 10: Communicating the Results.