Welcome to the second edition! - guide-market-researchs Webseite!

This accessible, practice-oriented, and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis, and clusteranalysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into action

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CONTACTS

Otto-von-Guericke-Universitaet Magdeburg

Marten Wenzel

Universitaetsplatz 2

Magdeburg, 39106

DE

Otto-von-Guericke-Universitaet Magdeburg

Carsten HedermannMatthias Weber

Rechenzentrum Universitaetsplatz 2 Universitaetsrechenzentrum

Magdeburg, 39106

DE

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TITLE

Welcome to the second edition! - guide-market-researchs Webseite!

DESCRIPTION

This accessible, practice-oriented, and compact text provides a hands-on introduction to market research. Using the market research process as a framework, it explains how to collect and describe data and presents the most important and frequently used quantitative analysis techniques, such as ANOVA, regression analysis, factor analysis, and clusteranalysis. The book describes the theoretical choices a market researcher has to make with regard to each technique, discusses how these are converted into action

CONTENT

This domain has the following in the web page, "Yet another market research book? Yet another market research book? A Concise Guide to Market Research." Our analyzers analyzed that the web site also stated " Yet another market research book? Welcome to the second edition! The book is available via many channels such as Amazon, most bookstores, and SpringerLink https link." The Website also stated " If your organization or university subscribes to the Springer Texts in Business and Economics series, you will even have free access." The website's header had SPSS PASW marketing market research cluster analysis regression factor pca sem pls lisrel scale index construct questionnaire survey methodology panel data multivariate descriptives mean mode median variance standard deviation as the most important search term.

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