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Measurement invariance of the moral vitalism scale across 28 cultural groups

Author

Listed:
  • Maksim Rudnev
  • Christin-Melanie Vauclair
  • Samira Aminihajibashi
  • Maja Becker
  • Michal Bilewicz
  • José Luis Castellanos Guevara
  • Emma Collier-Baker
  • Carla Crespo
  • Paul Eastwick
  • Ronald Fischer
  • Malte Friese
  • Angel Gomez
  • Valeschka Guerra
  • Katja Hanke
  • Nic Hooper
  • Li-li Huang
  • Minoru Karasawa
  • Peter Kuppens
  • Steve Loughnan
  • Müjde Peker
  • Cesar Pelay
  • Afroditi Pina
  • Marianna Sachkova
  • Tamar Saguy
  • Junqi Shi
  • Mia Silfver-Kuhalampi
  • Florencia Sortheix
  • William Swann
  • Jennifer (Yuk-Yue) Tong
  • Victoria Wai-lan Yeung
  • Brock Bastian

Abstract

Moral vitalism refers to a tendency to view good and evil as actual forces that can influence people and events. The Moral Vitalism Scale had been designed to assess moral vitalism in a brief survey form. Previous studies established the reliability and validity of the scale in US-American and Australian samples. In this study, the cross-cultural comparability of the scale was tested across 28 different cultural groups worldwide through measurement invariance tests. A series of exact invariance tests marginally supported partial metric invariance, however, an approximate invariance approach provided evidence of partial scalar invariance for a 5-item measure. The established level of measurement invariance allows for comparisons of latent means across cultures. We conclude that the brief measure of moral vitalism is invariant across 28 cultures and can be used to estimate levels of moral vitalism with the same precision across very different cultural settings.

Suggested Citation

  • Maksim Rudnev & Christin-Melanie Vauclair & Samira Aminihajibashi & Maja Becker & Michal Bilewicz & José Luis Castellanos Guevara & Emma Collier-Baker & Carla Crespo & Paul Eastwick & Ronald Fischer &, 2020. "Measurement invariance of the moral vitalism scale across 28 cultural groups," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-11, June.
  • Handle: RePEc:plo:pone00:0233989
    DOI: 10.1371/journal.pone.0233989
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    References listed on IDEAS

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    1. Rosseel, Yves, 2012. "lavaan: An R Package for Structural Equation Modeling," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i02).
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