This accessible, practice-oriented, and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis, and cluster analysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into actions in IBM SPSS version 22, and how to interpret the output. Each chapter concludes with a case study that illustrates the process using real-world data. Tags in the text allow readers to quickly access Web content with their mobile device.
Features of the 2nd edition:
- Stronger emphasis on the gathering and analysis of secondary data (e.g., internet and social networking data)
- New material on data description (e.g., outlier detection and missing value analysis)
- Improved use of educational elements such as learning objectives, keywords, self-assessment tests, case studies, and much more
- Streamlined and simplified coverage of the data analysis techniques with more rules-of-thumb
- Uses IBM SPSS version 22
On this website you will find the learning objectives and short introductions of each chapter, including video files that illustrate the use of SPSS based on the examples in the book. You will also find data sets and additional reading. If you need any further information on this book please email us at
(Erik) . Please check out the book's page at Springer or our Facebook community page.
Book reviews of the 1st edition
Marketing Review St. Gallen has published a review of our book in their first issue of 2012 (p. 62). You can download the review (in German) here.
Tobias Schütz (Professor for Marketing and Customer Science, ESB Business School, Reutlingen University) has published a review of our book in International Journal of Market Research (Volume 53, Issue 4, pp. 563-564). You can download the review here.
Table of contents / Preface / Sample Chapter: Cluster Analysis
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