The application of selected methods of multivariate statistical analysis to study objective quality of life in Polish and Belarusian regions

Valiantsina Lialikava, Iwona Skrodzka, Alena Kalinina
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Abstract

The concept of life quality has been studied by specialists from a variety of scientific fields: economics, social geography, sociology, psychology, medicine, political sciences, and others. This contributes to the complementariness of the notion and broadens its interdisciplinary perspective, but on the other hand, it leads to a lack of unanimity in terms of the definition and measurement of the quality of life. Meanwhile, all developed countries in the world regard enhancing life quality as a priority of state policy. With the further advancement of our civilisation, quality of life will become a major issue in economic development. Therefore, monitoring this aspect of economic life, at both country and regional level, seems to be of particular significance. The paper aims to assess the suitability of selected methods of multivariate statistical analysis for the construction of a synthetic measure of objective quality of life. The study employs two methods of constructing synthetic measures of objective life quality: the linear ordering method – TOPSIS, and factor analysis. The results obtained by means of multivariate statistical analysis methods made it possible to create ratings of Polish and Belarusian regions in terms of objective quality of life and to further divide the regions into typological groups.
应用多元统计分析的选择方法来研究波兰和白俄罗斯地区的客观生活质量
生活质量的概念已经被来自不同科学领域的专家研究过:经济学、社会地理学、社会学、心理学、医学、政治学等等。这有助于这一概念的互补性,并拓宽了其跨学科的视角,但另一方面,它导致在生活质量的定义和衡量方面缺乏一致。与此同时,世界上所有发达国家都把提高生活质量作为一项优先的国策。随着我们文明的进一步进步,生活质量将成为经济发展的一个主要问题。因此,在国家和区域一级监测经济生活的这一方面似乎特别重要。本文旨在评估多元统计分析方法的适用性,以构建客观生活质量的综合度量。本文采用线性排序法TOPSIS和因子分析法两种方法构建客观生活质量的综合测度。通过多元统计分析方法获得的结果,可以根据客观生活质量对波兰和白俄罗斯地区进行评级,并进一步将这些地区划分为类型组。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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