Russian Adaptations of General and Personal Belief in a Just World Scales: Validation and Psychometric Properties View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

Sofya Nartova-Bochaver, Matthias Donat, Nadezhda Astanina, Claudia Rüprich

ABSTRACT

In a questionnaire study, Russian versions of the General and Personal belief in a just world (BJW) Scales were validated. Results from exploratory and confirmatory factor analysis showed that the Personal BJW Scale could be empirically differentiated from the General BJW Scale; however, both scales correlated positively. Good internal consistencies of both scales were demonstrated. Age was positively correlated with personal BJW but not with general BJW. Gender differences were found neither in personal nor in general BJW. Personal BJW was found to be stronger than general BJW. Convergent validity was tested by inspecting correlations of BJW scales with the Basic World Assumptions Scale. Divergent validity was examined by inspecting correlations with Markers for the Big Five Factor Structure Scale and Justice Sensitivity Scales. Both personal and general BJW showed positive connections with all subscales of the Basic World Assumptions Scale (self-worth, benevolence of world, justice, luck, and control). We demonstrated divergent validity of personal BJW regarding intellect, agreeableness, conscientiousness, beneficiary and perpetrator sensitivity, and divergent validity of general BJW regarding intellect, beneficiary, perpetrator, and observer sensitivity. Both BJW dimensions were unrelated to beneficiary and perpetrator sensitivity. In addition, general BJW was not related to observer sensitivity. Results give evidence for satisfactory psychometric properties and validation of the Russian versions of BJW scales. More... »

PAGES

61-84

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11211-017-0302-5

DOI

http://dx.doi.org/10.1007/s11211-017-0302-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1099910950


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