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2022, vol. 26, br. 1, str. 13-29
Identification of factors influencing the quality of life in European Union countries evaluated by Principal Component Analysis
(naslov ne postoji na srpskom)
aUniversity of Prešov, Faculty of Humanities and Natural Sciences, Prešov, Slovakia
bTechnical University of Košice, Faculty of Mining, Ecology, Process Control and Geotechnology, Košice, Slovakia

e-adresamonika.ivanova@unipo.sk, radoslav.klamar@unipo.skr, erika.feckova.skrabulakova@tuke.sk
This work was supported by the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy Sciences as part of the research project VEGA 1/0264/21: "Application of modern methods in the analysis and modelling of technological and other processes used in the acquisition and processing of earth resources in order to optimize them".
This work was supported by the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy Sciences as part of the research project VEGA 1/0544/21: "Dysfunctional States - The Current Phenomenon of a World Political-Space Structure".
This contribution is the result of the implementation of the project "Historical Mining-tracing and learning from ancient materials and mining technologies", no. 18111, EIT/RAW MATERI-ALS/SGA2019/1 supported by EIT-the European Institute of Innovation and Technology, a body of the European Union, under the Horizon 2020, the EU Framework Programme for Research and Innovation.

Ključne reči: Eurostat; European Union countries; quality of life; Principal Component Analysis
(ne postoji na srpskom)
In the paper we evaluate the quality of life in European Union countries. The introductory database is made up of 19 variables which, in our view, appropriately capture numerous spheres of human life. The reference date for this data, taken from the Eurostat database is April 10, 2021. The Principal Component Analysis that we have used in this paper is not rare in the conditions of multivariate statistics, however, when evaluating the quality of life, it is not much used. Many authors dealing with the topic take advantage of the traditional questionnaire survey and the points-based approach when analysing data. Our objective was to demonstrate that the Principal Component Analysis can be used in evaluating quality of life, especially if it is necessary to evaluate a significant number of variables and select factors with the highest impact. Apart from the main objective-the identification of factors most impacting the quality of life in European Union countries, we also focused on the comparison of countries as per particular main factors and searched for what caused differences between them. Quality of life is also reflected in the subjective perception of responders' happiness. We were concerned to know whether the evaluated data would indicate that the feeling of happiness increases along with prosperity , or does not depend on growing prosperity at a certain stage.
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O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.5937/gp26-34191
primljen: 03.10.2021.
revidiran: 27.01.2022.
prihvaćen: 28.01.2022.
objavljen u SCIndeksu: 08.04.2022.
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