QUANTITATIVE AND QUALITATIVE ANALYSIS IN ECONOMICS
USING FACTOR ANALYSIS AND MULTIPLE LINEAR REGRESSIONS: AN EXAMPLE IN SATISFACTION WITH LIFE IN SLOVENIA
Anton Vorina
Abstract: This paper presents the research about satisfaction with life in Slovenia. There were analysed the impact of gender, age, level of education, employment status and the amount of salary on the satisfaction with life. The main goal of the research is to determine whether (and how) the impact of five independent variables (gender, age, level of education, employment status and the amount of salary) influences the satisfaction with life (dependent variable). A written “online” survey (with Google-drive) was conducted from 13/4/2017 to 7/5/2017. Based on the multilinear regression model (R- square is only 0,037) we found out that there is no statistically correlation between gender, age, level of education, employment status, the amount of salary and the satisfaction with life.
Keywords: life, satisfaction, multiple linear regression, factor analysis, salary, gender
Published: p. 299-307
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