Marketing Research, 9th edition

Published by Pearson (September 15, 2020) © 2020

  • Alvin C. Burns Louisiana State University
  • Ann Veeck Western Michigan University

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In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

In this eTextbook — More ways to learn

  • More flexible. Start learning right away, on any device.
  • More supportive. Get AI explanations and practice questions (select titles).
  • More interactive. Bring learning to life with audio, videos, and diagrams.
  • More memorable. Make concepts stick with highlights, search, notes, and flashcards.
  • More understandable. Translate text into 100+ languages with one tap.

Title overview

Written with an emphasis on the practical application of marketing research methods, Marketing Research teaches you 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. This includes 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 you relate the material to the real world and your future career.

Table of contents

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

Author bios

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