Attitude to Immigrants in the Mass Consciousness of Europeans (using the example of secondary analysis of ESS 2016 data). Part 2

Abstract

In the second part of the article, the problem of positioning in the space of society ten clusters obtained in the study of European countries in 2016 is solved. The internal structure of clusters is considered by combining the patterns of deviations in the vectors of estimates of immigration, depending on the social characteristics of the carriers of these estimates. For this purpose, the method of formalizing the series of frequency deviations by the Student’s criterion, dispersion, correlation, regression, entropy analyzes, the method of constructing decision trees, tested in previous works of the authors, have been applied. A feature of this approach is going beyond the boundaries of a narrow consideration of paired relationships of features. The direction and force of deviation from some points of the centers of a stable state of activity of mass behaviour and assessments of mass consciousness in the studied area is considered in a broad context of indicators. This makes it possible to construct two-dimensional landscape maps of the vectors of activity deviation and assessments in different clusters of countries presented in the first part of the article and makes it possible to arrive at ideas about the action of common factors of social semantics that determine both the unity and the variety of phenomena found in the ESS-2016 study.

Keywords

• european social research
• attitudes towards immigrants
• differentiation
• regression analysis
• entropy analysis
• analysis of variance
• chaid decision tree method