Modelling Students’ Life Satisfaction in Public Higher Institution using Multiple Linear Regression Analysis

Abstract

Life satisfaction refers to how individuals perceive their lives in terms of happiness and contentment, considering factors such as life circumstances, achievements, relationships, and overall satisfaction. This study employed a cross-sectional design to investigate the effects of emotional intelligence, perceived stress and self-esteem on life satisfaction. The sample consisted of 336 students randomly selected from a population of 1020 at UiTM Kelantan Branch, Kota Bharu Campus by using stratified sampling technique. A set of questionnaires served as the primary tool for data collection that consists of five sections covering demographic profiles, life satisfaction, emotional intelligence, perceived stress and self-esteem. Data were analysed using Pearson’s correlation and multiple linear regression. The findings revealed a moderate positive correlation between self-esteem (r = 0.571) and emotional intelligence (r =0.517) on life satisfaction. Meanwhile, the correlation between perceived stress and life satisfaction showed a weak negative relationship (r = - 0.363). Results from multiple linear regression confirmed that all variables (self-esteem, emotional intelligence and perceived stress) significantly influence life satisfaction. This research emphasises the recognition of student achievement and encourages healthy lifestyles to increase overall life satisfaction