APPLICATION OF LOGISTIC REGRESSION IN THE SUBJECTIVE ASSESSMENT OF THE QUALITY OF LIFE OF POLES

The paper discusses the application of tools of multivariate analytical methods i.e., logistic regression, to model the subjective assessment of satisfaction/dissatisfaction with quality of life achieved. Based on empirical data from a random sampling of households in Podkarpacie province, the statistical significance of variables was estimated, which enabled the estimation of the value of life quality based entirely on qualitative variables, that are characteristic for a given household, with incomes being excluded. The essence of the regression is to seek such household related parameters, that could have varying degrees of impact on the occurrence of either negative or positive values. The models have been designed based on varied classification categories for households, thus allowing for both the quantitative analysis and comparison of the impacts of key cardinal determinants of values of life.