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The recent development of data analytic tools rooted around the Multi-Group Latent Class Analysis (MGLCA) has enabled the examination of heterogeneous datasets in a cross-cultural context. Although the MGLCA is considered as an established and popular cross-cultural data analysis approach, the infinite relational model (IRM) is a new and disruptive type of unsupervised clustering approach that has been developed recently by cognitive psychologists and computer scientists. In this article, an extended version of the IRM coined the multinominal IRM—or mIRM in short—is applied to a cross-cultural analysis of survey data available from the World Value Survey organization. Specifically, the present work analyzes response patterns of the Portrait Value Questionnaire (PVQ) representing Schwartz’s 10 basic values of Japanese and Swedes. The applied model exposes heterogeneous structures of the two societies consisting of fine-grained response patterns expressed by the respective subpopulations and extracts latent typological structures contrasting and highlighting similarities and differences between these two societies. In the final section, we discuss similarities and differences identified between the MGLCA and the mIRM approaches, which indicate potential applications and contributions of the mIRM and the general IRM framework for future cross-cultural data analyses.

Publikationsoplysninger

OriginalsprogEngelsk
TidsskriftJournal of Cross-Cultural Psychology
Vol/bind48
Tidsskriftsnummer1
Sider (fra-til)39-57
Antal sider19
ISSN0022-0221
DOI
StatusUdgivet - 2017

Bibliografisk note

Published online: 11. October 2016

    Emneord

  • Empathy, Cultural differences, Prosocial behavior, Collectivism, Personality, Emotion

ID: 45271115