Market Research and Analysis

Methods, Design, and Data

Hardback
July 2024
9781501522888
More details
  • Publisher
    Mercury Learning and Information
  • ISBN 9781501522888
  • Language English
  • Pages 325 pp.
  • Size 7" x 9"
  •    Request Exam Copy
$79.99
Lib E-Book

Library E-Books

We are signed up with aggregators who resell networkable e-book editions of our titles to academic libraries. These editions, priced at par with simultaneous hardcover editions of our titles, are not available direct from Stylus.

These aggregators offer a variety of plans to libraries, such as simultaneous access by multiple library patrons, and access to portions of titles at a fraction of list price under what is commonly referred to as a "patron-driven demand" model.

July 2024
9781501520020
More details
  • Publisher
    Mercury Learning and Information
  • ISBN 9781501520020
  • Language English
  • Pages 325 pp.
  • Size 7" x 9"
$155.00
E-Book

E-books are now distributed via RedShelf or VitalSource

You will choose the vendor in the cart as part of the check out process. These vendors offer a more seamless way to access the ebook, and add some great new features including text-to-voice. You own your ebook for life, it is simply hosted on the vendors website, working much like Kindle and Nook. Click here to see more detailed information on this process.

July 2024
9781501520051
More details
$79.99

Market Research and Analysis: Methods, Design, and Data provides a comprehensive discussion of market research and analysis, covering key concepts, process descriptions, qualitative and quantitative techniques for market research and data analysis, and application scenarios. It is geared toward business management professionals and graduate students who want to enhance their skills in addressing management decision problems (MDP) and test results for statistical significance. Readers will appreciate the breadth and depth of this subject, market research techniques, and how they are relevant to the business enterprise, whether it is a startup entrepreneurship or an established business organization. This book guides readers on conducting market research, developing and testing hypotheses, and solving business challenges. The structure is based on the six steps of the market research process: problem definition, development of an approach to the problem, research design formulation, fieldwork and data collection, data preparation, qualitative and quantitative analysis, statistical test of significance of results, report preparation, and presentation.

FEATURES:

  • Provides a general understanding of market research, what information it can provide, and how market and marketing managers can adequately use it
  • Explains how to generate data and information by surveying and making observations of consumers and organizations
  • Examines the main types of sampling plans and their advantages and disadvantages
  • Investigates various quantitative and qualitative research methods and techniques, through data gathered during market research

1: The Purpose of Market Research

2: Market Research Ethics

3: Defining the Research Objective

4: Secondary Research Methods

5: Quantitative Primary Research: Surveys, Data Mining, and Web Scraping

6: Qualitative Primary Research: Surveys, Focus Groups, Observation Studies

7: Survey Development

8: Sampling Techniques

9: Survey Distribution

10: Data Analytics Tools and Descriptive Statistics

11: Data Analysis – Hypothesis Testing

12: Data Analysis: Inferential Statistics

13: Communicating Results

Marcus Goncalves, PhD

Marcus Goncalves, Ph.D., Ed.D, is a Professor of the Practice and Coordinator of the Global Marketing Management program at Boston University MET and an international management consultant with over 30 years of experience in the U.S., Latin America, Europe, the Middle East, and Asia. He regularly lectures on market research methods at the graduate level and is heavily immersed in research in his field. He has several books and peer-reviewed papers published.

Market Research Methods; Sampling Techniques; Data Analysis; Research Objectives; Data Mining; Web Scraping; Inferential Statistics; Hypothesis Testing