A Concise Guide to Market Research: The Process, Data, and Methods Using IBM SPSS Statistics (Springer Texts in Business and Economics) - Hardcover

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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.

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This book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative methods. It is intended for all readers who wish to know more about the market research process, data management, and the most commonly used methods in market research. The book helps readers perform analyses, interpret the results, and make sound statistical decisions using IBM SPSS Statistics. Hypothesis tests, ANOVA, regression analysis, principal component analysis, factor analysis, and cluster analysis, as well as essential descriptive statistics, are covered in detail. Highly engaging and hands-on, the book includes many practical examples, tips, and suggestions that help readers apply and interpret the data analysis methods discussed.

The new edition uses IBM SPSS version 25 and offers the following new features:

• A single case and dataset used throughout the book to facilitate learning
  
  
• New material on survey design and all data analysis methods to reflect the latest advances concerning each topic

• Improved use of educational elements, such as learning objectives, keywords, self-assessment tests, case studies, and much more
  
  
• A glossary that includes definitions of all the keywords and other descriptions of selected topics