Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/33931

Title“Heroes” and “Villains” of world history across cultures
Author(s)Hanke, Katja
Liu, James H.
Sibley, Chris G.
Paez, Dario
Gaines Junior, Stanley O.
Moloney, Gail
Leong, Chan-Hoong
Wagner, Wolfgang
Licata, Laurent
Klein, Olivier
Garber, Ilya E.
Böhm, Gisela
Hilton, Denis J.
Valchev, Velichko
Khan, Sammyh S.
Cabecinhas, Rosa
KeywordsSocial representations of history
Collective memory
Globalization
Social psychology
Cultural pychology
Cross-cultural psychology
Issue date2015
PublisherPublic Library of Science (PLOS)
JournalPLoS ONE
Abstract(s)Emergent properties of global political culture were examined using data from the World History Survey (WHS) involving 6,902 university students in 37 countries evaluating 40 figures from world history. Multidimensional scaling and factor analysis techniques found only limited forms of universality in evaluations across Western, Catholic/Orthodox, Muslim, and Asian country clusters. The highest consensus across cultures involved scientific innovators, with Einstein having the most positive evaluation overall. Peaceful humanitarians like Mother Theresa and Gandhi followed. There was much less cross-cultural consistency in the evaluation of negative figures, led by Hitler, Osama bin Laden, and Saddam Hussein. After more traditional empirical methods (e.g., factor analysis) failed to identify meaningful cross-cultural patterns, Latent Profile Analysis (LPA) was used to identify four global representational profiles: Secular and Religious Idealists were overwhelmingly prevalent in Christian countries, and Political Realists were common in Muslim and Asian countries. We discuss possible consequences and interpretations of these different representational profiles.
TypeArticle
URIhttp://hdl.handle.net/1822/33931
DOI10.1371/journal.pone.0115641
ISSN1932-6203
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CECS - Artigos em revistas internacionais / Articles in international journals

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