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Multiple correspondence analysis as a tool in sociological research

Bibliographic Data

ID20318308
AuthorsIvica Mladenović (0000-0002-4304-3778, Univerzitet u Beogradu, Institut za filozofiju i društvenu teoriju, Beograd + Centre de Recherches Sociologiques, et Politiques de Paris (CRESPPA-LabTop), Paris, France, corresponding author)
Year2021
Volume63
Issue1
Pages26-49
Publication date2021-01-01
Open AccessYes
TypeARTICLE
VenueSociologija (JOURNAL)
Journal identifiersISSN: 0038-0318 • E-ISSN: 2406-0712
PublisherNational Library of Serbia (PUBLISHER • RS)
DOI10.2298/soc2101026m
OpenAlexW3148482693
LanguageEN
Citations received1

Multiple correspondence analysis is a form of a factorial multivariate data analysis which helps us summarize a large quantity of information with assistance of modern statistical programs. In this way, sociological correlations - which are then visually represented on a two-dimensional graph - are established between a certain number of active and supplementary variables, i.e. between the positions, dispositions and position-takings (French: prises de position) by the analyzed agents. It is a research tool initially introduced by a statistician Jean- Paul Benz?cri in the humanities and social sciences in the 1960s. Since the early 1970s, thanks to Pierre Burdieu, this methodological procedure has become an indispensable instrument in the empirical studies of sociologists who were familiar with structuralist approach in sociology. This paper consists of two main sections. The first one sets out the basic theoretical assumptions and methodological properties of multiple correspondence analysis. The aim of the second section is to give a brief recital of one particular research - i.e. its features and results - in order to get the interested sociological public aquaitned with it?s practicle potentials of this tool

Correspondence analysis · Economics · Epistemology · Order (exchange) · Section (typography) · Social science · Sociological research · Sociological theory · Sociology · Statistician · Statistics · Business Strategy and Innovation · Computer Science · Mathematics · Philosophy · Sensory Analysis and Statistical Methods · Wine Industry and Tourism

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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