For courses in global marketing.
This ISBN is for the Pearson eText combo card, which includes the Pearson eText and loose-leaf print edition (delivered by mail).
A conceptual approach and introduction to the field of marketing research
Written with an emphasis on the practical application of marketing research methods, Marketing Research teaches the basic fundamental statistical techniques needed to analyze market data. The 9th Edition has been updated to offer the most current insights on forces shaping marketing research, including the widespread adoption of infographics, a pronounced shift toward mobile marketing research, and the impact of big data. Additionally, an updated and integrated case study throughout the text helps students relate the material to the real world -- and their future careers.
Pearson eText is a simple-to-use, mobile-optimized, personalized reading experience that can be adopted on its own as the main course material. It lets students highlight, take notes, and review key vocabulary all in one place, even when offline. Seamlessly integrated videos and other rich media engage students and give them access to the help they need, when they need it. Educators can easily customize the table of contents, schedule readings and share their own notes with students so they see the connection between their eText and what they learn in class -- motivating them to keep reading, and keep learning. And, reading analytics offer insight into how students use the eText, helping educators tailor their instruction.
NOTE: Pearson eText is a fully digital delivery of Pearson content and should only be purchased when required by your instructor. This ISBN is for a Pearson eText access code plus a loose-leaf print edition (delivered by mail). In addition to your purchase, you will need a course invite link, provided by your instructor, to register for and use Pearson eText.
Alvin C. Burns, Professor and Head, Emeritus, Professor of Marketing (retired), is the former Ourso Distinguished Chair of Marketing/Chairperson of Marketing in the E. J. Ourso College of Business Administration at Louisiana State University. He received his doctorate in marketing from Indiana University and an MBA from the University of Tennessee. Al has taught undergraduate and master’s courses as well as doctoral seminars in marketing research for over 40 years. During this time, he has supervised a great many marketing research projects conducted for business-to-consumer, business-to-business, and not-for-profit organizations. His articles have appeared in the Journal of Marketing Research, Journal of Business Research, Journal of Advertising Research, and others. He is a Fellow in the Association for Business Simulation and Experiential Learning. He resides in Baton Rouge, Louisiana, with his wife, Jeanne.
Ann Veeck is Professor of Marketing at Western Michigan University. She received her PhD in business, with a major in marketing and a minor in statistics, from Louisiana State University and her Master of Marketing Research degree from the University of Georgia. She has taught marketing research and marketing analytics courses to thousands of undergraduate and MBA students for 20 years -- using this marketing research text, of course. The focus of her research is family and food consumption patterns in developing nations, with an emphasis on China. She has also published extensively on best learning practices in marketing. She has received the top Haworth College of Business awards in both teaching and research, as well as a national award for innovative teaching from the Marketing Management Association. Ann lives in Kalamazoo, Michigan, with her husband, Gregory Veeck.
1. Introduction to Marketing Research
2. The Marketing Research Industry
3. The Marketing Research Process and Defining the Problem and Research Objectives
4. Research Design
5. Secondary Data and Packaged Information
6. Qualitative Research Techniques
7. Evaluating Survey Data Collection Methods
8. Understanding Measurement, Developing Questions, and Designing the Questionnaire
9. Selecting the Sample
10. Determining the Size of a Sample
11. Dealing with Field Work and Data Quality Issues
12. Using Descriptive Analysis, Performing Population Estimates, and Testing Hypotheses
13. Implementing Basic Differences Tests
14. Making Use of Associations Tests
15. Understanding Regression Analysis Basics
16. Communicating Insights
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