The logical component of thinking as a predictor of decision-making about the presence of corruption risk in a situation

 
PIIS020595920017069-1-1
DOI10.31857/S020595920017069-1
Publication type Article
Status Published
Authors
Occupation: Associate Professor of the Psychology of Education and Pedagogy Department
Affiliation: Lomonosov Moscow State University
Address: Russian Federation, Moscow
Occupation: Postgraduate student of the Psychology of Education and Pedagogy Department
Affiliation: Lomonosov Moscow State University
Address: Russian Federation, Moscow
Journal namePsikhologicheskii zhurnal
EditionVolume 42 Issue 6
Pages25-34
Abstract

The links between elements of the decision-making system on the presence of corruption risk (CR) in a situation with the logical component of thinking as a predictor are considered. The hypothesis of the role of logical reasoning component as a predictor of (1) perceptions of corruption, (2) indicators of emotional intelligence and (3) moral judgement was tested on a sample of Moscow university students (N=134; M=35±11 years old). The following diagnostic tools were used: (1) the author's test for recognising CR situations, (2) the method for assessing the content of ideas about corruption (Pogozhina, Pshenichnyuk, Sergeyeva), (3) D. Lucin’s EmIn questionnaire, (4) Molchanov's Justice-Care technique. Correlation analysis and structural modeling were used to process the data. The logical component of thinking was a significant positive predictor of the level of development of perceptions of corruption and understanding one’s own emotions and those of others.  Also, the logical component significantly negatively predicted moral judgments based on instrumental individualism, reflexive empathic orientation and unconscious but internalized moral values. The findings suggest that the logical component will play a leading role in the CR decision-making system and should be specifically shaped.

Keywordsdecision-making, corruption risks, corruption, logical thinking, emotional intelligence, moral judgments, structural equation modeling
Publication date16.12.2021
Number of characters24706
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