A multi-dimensional model of social attitudes for the politically active part of the Rostov region population
Abstract
A multi-dimensional model of social attitudes for the politically active part of the Rostov region population
Incoming article date: 15.12.2015The technique of the multidimensional analysis of socio-political attitudes is shown on a concrete example. The results of questioning which was carried out in the spring of 2014 among the Rostov region population participating in the work of election commissions of the lower level are the basis for work. In total 144 persons were surveyed. On gender and age distribution, and also on socio-economic indexes our sample was typical for the above mentioned population. About 29 characteristics were used as input parameters in model. They were levels of affective and cognitive perception of the local and central authorities, cognitive estimates by respondents of the relation to various parties of socio-political life, the characteristic of a social portrait of respondents. The affective components were determined by technology of semantic differential, with the subsequent calculation within nonlinear approach. All cognitive components were computed by results of direct poll. Entrance sizes were unwrapped a multidimensional cube on a platform of a package of the multidimensional analysis by IBM Cognos. The functions of respondent’s distribution were computed both for separate components, and for various sections of a cube at the exit of model. The analysis for social and economic, national, confessional, territorial, gender profiles is carried out. It was discovered, in particular, the essential peculiarities in the territorial plan for the main leading factors of a conflictogenity (an affective component of political attitudes). Hierarchy of factors of social tension was created It is shown that the presented technique allows to conduct comprehensive investigation of a socio-political condition of any audience.
Keywords: questioning, semantic differential, affective component, direct poll, cognitive component, multidimensional cube, Cognos, social sections, territorial factor, social tension