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A Test of the Reproducibility of the Clustering of Cultural Variables

Bibliographic Data

ID7738599
AuthorsAgner Fog (0000-0001-7773-8247, Technical University of Denmark, Ballerup, Denmark, corresponding author)
Year2021
Volume55
Issue1
Pages29-57
Publication date2021-02-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueCross-Cultural Research (JOURNAL)
Journal identifiersISSN: 1069-3971 • E-ISSN: 1552-3578
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/1069397120956948
OpenAlexW3087107780
LanguageEN
Citations received22
References cited39

Cultural variables from many different cross-cultural studies can be divided into two clusters of variables that are strongly correlated within each cluster. This is reflected in two factors that are found to be reproduced by independent sets of cultural variables and also reflected in several different cross-cultural studies. The first factor, called superfactor, reflects the combined effects of development and modernization, together with social-psychological effects such as collectivism, conservatism, regality, and tightness. The second factor, called East Asian factor, combines several effects related to East Asian cultures, and possibly also differences in response style. These two factors can be found in several previously published cultural maps, but rotated differently. The common practice of factor rotation has obscured similarities between many different cross-cultural studies. Many previously published cultural factors with different names are in fact differently rotated solutions reflecting the same or closely related underlying cultural differences

Collectivism · Cross-cultural · Cultural diversity · Factor (programming language · Individualism · Modernization theory · Political science · Sociology · Test (biology · Anthropology · Computer Science · Cultural Differences and Values · Psychology · Social and Cultural Dynamics · Social and Intergroup Psychology · Social Psychology · Ecology

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Unique citing works22
Citations per year3,67
Citation span2020 - 2026 (7)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 22

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