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EN
The paper presents a comparative analysis of the quality of regional development in powiats in the Małopolskie Voivodship. For this purpose, the Regional Development Index, based on aggregation of the Principal Component Analysis results, was proposed. The development of the region includes quantitative changes in the economy (in production, investment, and employment) and qualitative changes (in the structure of the economy and society), so the values of the development index were also calculated separately for the area of ​​economic, social and ecological development. The calculated value of the development indicator for each powiat made it possible to rank the regions of the Małopolskie Voivodship and to analyse changes in their level of development.
EN
This methodological article focuses on the practical application of the List of Values (LOV) in research in Poland. An attempt to reduce data using Principal Component Analysis and Hierarchical Factor Analysis is undertaken, with two secondary and four primary factors extracted. The author compares her results against those reported by other researchers. The structure of secondary factors is similar to that suggested by Kahle in 1983. The author suggests that the values related to financial security, health and sensitivity to beauty should be added to the LOV used in marketing research.
EN
The article deals with the identification of factors of the standard of living. Ambiguous definition of the term “standard of living” requires for its quantification sufficient theoretical knowledge from the methodology field. The principal component analysis (PCA) was used to reduce the extensive amount of factors of the standard of living as well as for the determining of the most important ones. Data mining was used to compare the use of the PCA with various classification algorithms and later on it was tested with developments of the feature selection. The methods were applied on the sample of 2 783 respondents from 5 EU countries which represents areas of cultural similarities. The result of this effort is reduction from 99 considered factors of standard of living to final 45. Data mining helped to exclude 30 attributes and thus the final amount is set to 69. In case of comparison of these methods and their results it seems more appropriate the PCA over the feature selection method.
EN
The social dimension of sustainable development (SD) and those aspects of it related to human health are crucial for SD. By means of hierarchical cluster analysis (HCA) and principal component analysis (PCA) the European Union countries and other three developed countries were assessed using selected indicators reflecting aspects of health related to SD. Five indicators reflecting these aspects at the macroeconomic level were used. These were a pair of objective indicators, a pair of subjective indicators and one indicator reflecting resources for health care. They were applied in order to cluster the 31 countries for each year in the period 2011 – 2015 and also for the whole period. Four clusters were created for the years 2011 – 2014, three clusters for 2015, and five clusters for the overall period. Switzerland was evaluated as the best performing country in the sample, and Lithuania as the worst. Czech Republic exhibited a significant shift towards higher sustainability.
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