A Perspective on Quality of Life
Abstract
In the first part of the paper we approached theoretical notions regarding the quality of life, as a complex feature of the economic, political, social and ideological factors, which determine the human situation in society. The quality of life gives value to the life of a man, shows how and to what extent the conditions of life offer man the possibility of satisfying his many needs, the degree to which life is satisfactory to the individual. In this article, we analysed the data collected through a questionnaire from a sample of 129 students from the Faculty of Economic Sciences. The purpose of the questionnaire was to collect information on several indicators of the student’s quality of life (QOL). The indicators considered were measured through the help of some items present in the questionnaire. In the following, we were interested in analysing, from a statistical point of view, the results collected from the questionnaire. For this, we first identified descriptive characteristics of the calculated indicators. Since the values of the characteristics are real numbers, obtained as averages of Likert scores, we considered it appropriate, to apply analysis procedures specific to quantitative statistical variables, numerically (averages, dispersions, correlation analyses). As part of statistical modelling, we intended to check whether the independent variable, introduced as a QOL indicator after proposing the 5 basic types of indicators, is absolutely necessary to be taken from users, or if it is possible that its values are deduced by means of a linear model from the other variables. The conclusion of my study is that the variable is not fully explained by a linear combination of the other variables that shape QOL indicators.
References
Burckhardt CS, Kathryn LA. "The Quality of Life Scale (QOLS): reliability, validity, and utilization." Health and quality of life outcomes, No. 1; 2003.
Burckhardt CS, Woods SL, Schultz AA, Ziebarth DM. Quality of life of adults with chronic illness: A psychometric study. Res Nurs Health. 1989; 12:347–354.
Carr A, Higginson, IJ. Measuring quality of life: Are quality of life measures patient centered?,Jurnalul „British Medical Journal”, 2001, No. 322 (7298): 1357–1360
Flanagan JC. Measurement of the quality of life: Current state of the art. Arch Phys Med Rehabil. 1982; 63:56–59.
Harpe SE. How to analyze Likert and other rating scale data. Currents in Pharmacy Teaching and Learning. 2015; 7(6): 836–850. doi:10.1016/j.cptl.2015.08.001
Likert R. A technique for the measurement of attitudes. Arch Psychology. 1932; 22(140):55.
Mărgineanu I, Precupeţu I. Quality of life and sustainable development. Ways of social cohesion (in Romanian). Bucharest: Expert Publishing House; 2008.
Mărginean I, Bălaşa A. Quality of life in Romania (in Romanian). Bucharest: Expert Publishing House; 2002.
Sîrbu A, Potâng A, Tulbure, T. Psychosocial considerations regarding the quality of life (in Romanian). Scientific Journal of the State University of Moldova, 2012; 5(55).
Sullivan Gail M, Anthony R. Artino Jr. "Analyzing and interpreting data from Likert-type scales." Journal of graduate medical education.2013; 5 (4): 541-542.
Copyright (c) 2020 LUMEN Proceedings

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Selection and peer-review under responsibility of the Organizing Committee of the conference. This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 4.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.