Main content

Contributors:

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: Multiple Correspondence Analysis (MCA) is a multivariate nominal categorical dataanalysis method widely utilized for decades. We use bibliometric methods toinvestigate MCA related research applied in various fields from 1983 to 2021. Thefindings include the most important publication channels, authors, papers, andtopics. In total, 1208 articles from the Social Sciences, Humanities, and Artspublished in 662 journals were examined. Aside from other findings, we discovered2962 distinct authors who contributed to the development of this research topic,with an annual growth rate of 15,07%. This article provides a broad overview ofdifferent perspectives on MCA-based research over time and will be of greatassistance to those interested in this area of study. (PDF) Multiple Correspondence Analysis in Social Sciences and Humanities Research: A Longitudinal Mapping. Available from: https://www.researchgate.net/publication/380125390_Multiple_Correspondence_Analysis_in_Social_Sciences_and_Humanities_Research_A_Longitudinal_Mapping FULL PAPER IN PDF: https:/ejournals.epublishing.ekt.gr/index.php/dab/article/view/32902

Files

Files can now be accessed and managed under the Files tab.

Citation

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.