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ISSN - 2074-6857
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Chumakova, Maria A.

Moscow City University of Psychology and Education,
Moscow, Russia

Publications by Chumakova, Maria A.

Kornilova T. V., Chumakova M. A., Krasavtseva Yu. V. (2018). Emotional intelligence, patterns for coping with decisional conflict, and academic achievement in cross-cultural perspective (evidence from selective Russian and Azerbaijani student populations). Psychology in Russia: State of the Art, 11 (2), 114-133

Background. Choice, under conditions of uncertainty, is mediated by integral dynamic regulatory systems that represent hierarchies of cognitive and personality processes. As such, individual decision-making patterns can be studied in the context of intellectual and personality potential. This article presents the results of a cross-cultural comparison of personality characteristics, such as coping with uncertainty, emotional intelligence, and academic achievement, between Azerbaijani and Russian university students.

Objective. We aimed at establishing metric invariance and at highlighting relationships between emotional intelligence and the scales of the Melbourne Decision Making Questionnaire (MDMQ).

Design. Azerbaijani and Russian student samples were selected for this study due to the almost identical educational programs offered by Moscow State University to students in Moscow and its branch in Baku. Coping with uncertainty was measured by the MDMQ, emotional intelligence by the EmIn questionnaire, and academic achievement by GPA scores. Confirmatory factor analysis was used to verify factor structure invariance and congruence.

Results. The congruence of factor structures for both questionnaires was verified. For the MDMQ four-factor structure for both samples was confirmed. For the EmIn questionnaire, invariance for two scales was established — “Understanding other people’s emotions” and “Managing own emotions”. Relationships among personality traits, gender, age, and academic achievements are explained for the Lomonosov Moscow State University students in Moscow (Russia) and its branch in Baku (Azerbaijan). No crosscultural differences were found for emotional intelligence and productive coping (Vigilance). A cultural difference was established in unproductive coping preference for Buck Passing. A similarity between the cultures was captured in the relationship of higher emotional intelligence (EQ) scores to higher Vigilance scores and to lower levels of unproductive coping patterns. Vigilance was a predictor of academic achievement, but only in the Russian sample.

Conclusion. The similarity of the educational systems, as both samples studied similar programs, demonstrates very few cross-cultural differences.

DOI:  10.11621/pir.2018.0209
Pages:  114-133
ThemesSocial psychology
Keywords:  uncertainty, emotional intelligence, vigilance, buck passing, procrastination, GPA, Melbourne Decision Making Questionnaire (MDMQ)

Available Online: 06.30.2018

Maria A. Chumakova, Sergey A. Kornilov (2013). Individual differences in attitudes towards uncertainty: evidence for multiple latent profiles. Psychology in Russia: State of the Art, 6(4), 94-108

This paper presents the results of an empirical study investigating individual differences in tolerance and intolerance for uncertainty, using a multidimensional approach. We hypothesized that individual differences in attitudes towards uncertainty are rooted in expectations regarding different sources and subjective evaluations of uncertainty. The results of structural equation modeling and latent profile analysis largely supported these hypotheses. Importantly, latent profile analysis identified four distinct profiles of attitudes towards uncertainty that represented, in addition to classically understood tolerance and intolerance for uncertainty, intolerance for uncertainty with respect to different sources of uncertainty (environment vs. personal relationships).

DOI:  10.11621/pir.2013.0408
Pages:  94-108
ThemesCognitive psychology / Theories and approaches
Keywords:  uncertainty, tolerance for uncertainty, latent profile analysis, dynamic regulative systems

Available Online: 01.15.2014