Emotional attitudes of the students of Grozny: affective component
Abstract
Emotional attitudes of the students of Grozny: affective component
Incoming article date: 14.12.2019The paper presents the results of measuring the overall emotional state of students in Grozny at the beginning of 2016. This characteristic is one of the indicators of social health of the study group, in particular, in relation to the political field. It is based on a pilot survey conducted among 141 students of the Grozny state oil technical University. By gender and national composition, the sample was approximately the same as in the entire educational institution. To measure the affective component of the emotional state, the method of the semantic differential of CH. Osgood was used. The interpretation of the results obtained was based on the Coombs ideal point theory, based on the proximity in the semantic space of the image of a real object from the images of ideal constructs. The distribution functions of the affective level of the emotional state are calculated in a linear approximation, as well as in the framework of the previously developed stochastic nonlinear psychosemantic phenomenological model. It was found that 14 % of respondents are characterized by a neutral emotional state, and 55% - positive. Of these, 33% reported their condition as slightly positive (a level of 0.1 to 0.3 on a scale of -1 to +1), and 22 % reported a steady positive (a level of 0.4 to 1). Negative emotional state was observed in 31 % of the respondents, of which 20 % - slightly negative (level from -0.1 to -0.3), and 11 % - stable negative (level -0.4 and below). The latter are the subgroup of risk in which social and political tensions can develop. The core of this subgroup is formed by 5 % of respondents who showed an extremely negative emotional state, with a level of -1. The results obtained differ slightly from similar data measured among students in Rostov-on-don around the same time period. For students of Grozny, the group of respondents with a positive emotional state is 10% more than for Rostov residents.
Keywords: social attitudes, affective component, semantic differential, Coombs perception theory, linear approximation, distribution function, nonlinear stochastic model, risk group, social tension