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Marketing Research, 10th edition

Published by Pearson (April 8, 2025) © 2026

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

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ISBN-13: 9780135364840 (2025 update)

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eTextbook + Study & Exam Prep on Pearson+

ISBN-13: 9780135364840 (2025 update)

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Purchasing Instructions

This form contains two groups of radio buttons, one for Exam Pack purchasing options, and one for standard purchasing options. Only one option can be chosen for purchase. Any option that is selected will deselect any previously selected purchase option.

eTextbook access on Pearson+

ISBN-13: 9780135364840 (2025 update)

Unlock extra study tools for other course help

eTextbook access + Study & Exam Prep monthly subscription on Pearson+

ISBN-13: 9780135364840 (2025 update)

In this eTextbook — More ways to learn

  • More support. Get AI help with personalized summaries, instant explanations, and quick translations.
  • More flexible. Start learning right away, on any device.
  • More interactive. Learn through audio, video, and practice.
  • More memorable. Study better with notes, highlights, and flashcards.
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  • A print edition you can rent
  • Fulfilled by eCampus.com
  • Option to keep after rental expires

Title overview

Marketing Research offers a conceptual introduction to marketing research. It presents basic statistical techniques for analyzing market data, while equipping you with relevant job skills. Emphasizing practical applications, the authors explore global forces shaping marketing research today, including technological and philosophical influences such as AI and big data.

The 10th Edition was condensed to focus on the most essential tools and concepts. It adds XL Data Analyst, Excel-based analysis available to you at no added cost. A new Homespread Restaurant case study with an integrated dataset connects concepts across chapters while letting you participate in a complete marketing research project.

Table of contents

  1. Introduction to Marketing Research
  2. The Marketing Research Process
  3. Research Design
  4. Secondary Data
  5. Qualitative Research Techniques
  6. Evaluating Survey Data Collection Methods
  7. Understanding Measurement, Developing Questions, and Designing the Questionnaire
  8. Sample Size and Sample Selection
  9. Data Quality Issues and Datasets
  10. Performing Descriptive Analysis, Computing Confidence Intervals, and Testing Hypotheses
  11. Implementing Basic Differences Tests
  12. Making Use of Associations Tests
  13. Understanding Regression Analysis Basics
  14. Communicating Insights

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