The Purposes of Multivariate Data Analysis Methods: an Applied Commentary

Shaun McQuitty

Journal of African Business, 2018, vol. 19, issue 1, 124-142

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.

Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/15228916.2017.1374816 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:wjabxx:v:19:y:2018:i:1:p:124-142

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/wjab20

DOI: 10.1080/15228916.2017.1374816

Access Statistics for this article

Journal of African Business is currently edited by Samuel Bonsu

More articles in Journal of African Business from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().