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The Purposes of Multivariate Data Analysis Methods: an Applied Commentary

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  • Shaun McQuitty

Abstract

Unlike univariate and bivariate statistical methods, multivariate statistical methods are capable of analyzing more than one relationship at a time. There are a number of multivariate data analysis methods, each with its own purpose. For nonexperts in statistical analysis, it can be daunting to determine what method is appropriate for a given application. The goal of this commentary is to introduce the multivariate data analysis methods in practical terms that do not require a strong statistical background. The emphasis is describing the purpose of each method, so that readers can choose the methods appropriate for their research questions. The use of multivariate statistical methods in the Journal of African Business also is explored.

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  • Shaun McQuitty, 2018. "The Purposes of Multivariate Data Analysis Methods: an Applied Commentary," Journal of African Business, Taylor & Francis Journals, vol. 19(1), pages 124-142, January.
    • Handle: RePEc:taf:wjabxx:v:19:y:2018:i:1:p:124-142
    DOI: 10.1080/15228916.2017.1374816
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