Marketing Research: Applied Insight, 6th edition

Published by Pearson Higher Education (March 13, 2020) © 2020

  • Dan Nunan Henley Business School , University of Portsmouth , Birkbeck, University of London
  • David F. Birks Winchester Business School
  • Naresh K. Malhotra Georgia Institute of Technology
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For undergraduate, postgraduate and MBA students, this highly successful textbook is an essential guide to Marketing Research.

Marketing Research: Applied Insight, 6th Edition, by Nunan, Birks and Malhotra is the leading marketing research text focused on the key challenges facing marketing research in a European context. This comprehensive text offers a clear explanation and discussion of concepts, and a wealth of European and international case material showing how researchers apply concepts and techniques.

This book supports both qualitative and quantitative research methods through:

  • Introducing the transactional stages of marketing research of problem definition, developing approach and design, data collection, analysis and communicating the research findings
  • Using real research case studies of how companies address specific managerial problems and implement research, as well as real-life marketing situations and exercises to tackle in every chapter
  • Applying marketing research to current marketing challenges such as social media, mobile marketing, customer value, experiential marketing, satisfaction, loyalty, customer equity, brand equity and management, relationship marketing, creativity and design, and socially responsible marketing.

  • 1. Introduction to marketing research and insight
  • 2. Defining the research problem and developing a research approach
  • 3. Research design
  • 4. Secondary data collection and analysis
  • 5. Internal secondary data and analytics
  • 6. Qualitative research: its nature and approaches
  • 7. Qualitative research: focus group discussions
  • 8. Qualitative research: in-depth interviewing and projective techniques
  • 9. Qualitative research: data analysis
  • 10. Survey and quantitative observation techniques
  • 11. Causal research design: experimentation
  • 12. Measurement and scaling: fundamentals, comparative and non-comparative scaling
  • 13. Questionnaire design
  • 14. Sampling: design and procedures
  • 15. Sampling: determining sample size
  • 16. Survey fieldwork
  • 17. Social media research
  • 18. Mobile research
  • 19. Data integrity
  • 20. Frequency distribution, cross-tabulation and hypothesis testing
  • 21. Analysis of variance and covariance
  • 22. Correlation and regression
  • 23. Discriminant and logit analysis
  • 24. Factor analysis
  • 25. Cluster analysis
  • 26. Multidimensional scaling and conjoint analysis
  • 27. Structural equation modelling and path analysis
  • 28. Communicating research findings
  • 29. Business-to-business (b2b) marketing research
  • 30. Research ethics, privacy and trust

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