A concise guide to market research : the process, data, and methods using IBM SPSS statistics /

Saved in:
Bibliographic Details
Author / Creator:Sarstedt, Marko, author.
Edition:Third edition.
Imprint:Berlin, Germany : Springer, [2019]
Description:1 online resource (396 pages)
Language:English
Series:Springer texts in business and economics
Springer texts in business and economics.
Subject:SPSS (Computer file)
SPSS (Computer file)
Marketing research -- Statistical methods.
Management science.
Marketing.
Management.
Statistics.
Management & management techniques.
Probability & statistics.
Sales & marketing.
Business & Economics -- Management.
Business & Economics -- Statistics.
Business & Economics -- Marketing -- General.
Marketing research -- Statistical methods.
Business.
Management.
Management science.
Marketing.
Statistics.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11745932
Hidden Bibliographic Details
Other authors / contributors:Mooi, Erik, author.
ISBN:3662567075
9783662567081
3662567083
9783662585924
3662585928
9783662567074
9783662567067
3662567067
Digital file characteristics:text file PDF
Notes:Introduction to Market Reseach.- The Market Research Process.- Data.- Getting Data.- Descriptive Statistics.- Hypothesis Testing & ANOVA.- Regression Analysis.- Principal Component and Factor Analysis.-Cluster Analysis.- Communicating the Results.
Includes bibliographical references and index.
Online resource; title from digital title page (viewed on November 15, 2018).
Summary:This book offers an easily accessible and comprehensive guide to the entire market research process, from asking market research questions to collecting and analyzing data by means of quantitative methods. It is intended for all readers who wish to know more about the market research process, data management, and the most commonly used methods in market research. The book helps readers perform analyses, interpret the results, and make sound statistical decisions using IBM SPSS Statistics. Hypothesis tests, ANOVA, regression analysis, principal component analysis, factor analysis, and cluster analysis, as well as essential descriptive statistics, are covered in detail. Highly engaging and hands-on, the book includes many practical examples, tips, and suggestions that help readers apply and interpret the data analysis methods discussed. The new edition uses IBM SPSS version 25 and offers the following new features: A single case and dataset used throughout the book to facilitate learning New material on survey design and all data analysis methods to reflect the latest advances concerning each topic Improved use of educational elements, such as learning objectives, keywords, self-assessment tests, case studies, and much more A glossary that includes definitions of all the keywords and other descriptions of selected topics Links to additional material and videos via the Springer Multimedia App.
Other form:Print version: 3662567067 9783662567067
Standard no.:10.1007/978-3-662-56707-4