Declarative and real perception of friendship by DSTU students Part II
Abstract
Declarative and real perception of friendship by DSTU students Part II
Incoming article date: 14.07.2020The work consists of two parts and is devoted to a comparative analysis of the declared cognitive and actually perceived affective relations to friendship. In the second part, the distribution functions for the entire hierarchical system of factors identified in the first part and reflecting the structure of the cognitive perception of friendship by DSTU students are presented. It was found that the overall cognitive attitude of the group is positive. For two indicators of the second level and the integral factor of all cognitive perception, about 80% of all respondents are characterized by positive values of these indicators. For the third factor of the second level, the subgroup with a positive perception (60%) is also larger than with a negative one (40%), but not so much. The affective component of students ' attitudes towards friendship gives a completely different picture. Here, 57% of respondents are characterized by an almost neutral emotional attitude to it, while only 29% are positive. All this suggests that in the group as a whole, students position a more positive relationship to friendship on a cognitive level than they actually feel emotionally. We associate this with the influence of society (both the immediate environment in direct communication, and through literature, art, mass media, etc.). The paper also analyzes the relationship between cognitive and affective attitudes to friendship at the individual level. In General, there is no such connection for the studied audience, even statistically (the correlation coefficient is only 0.17). But if we divide the entire audience into two subgroups, characterized by both the excess of cognitive perception over affective, and with the opposite ratio, then for them separately there is already a positive statistical relationship.
Keywords: friendship, pilot survey, cognitive component, hierarchical factorization method, distribution functions, affective component, comparative analysis