JAMOVI ANALYSIS: IMPACT ASSESSMENT OF HAPPINESS ON LIFE SATISFACTION

This study investigates the relationship between happiness and life satisfaction while exploring the impact of sociodemographic factors such as age, gender, location, and educational attainment. Utilizing a quantitative research design, data were collected from a sample of 33 participants through a self-administered, researcher-constructed questionnaire. The instrument’s reliability was confirmed with a Cronbach’s alpha of 0.829, and a pilot study involving 33 participants validated the tool’s clarity and effectiveness. Results from linear regression analysis indicate that happiness significantly predicts life satisfaction (β = 0.714, p = 0.008), explaining 47.9% of the variance in life satisfaction (R² = 0.479). In contrast, sociodemographic factors—age, gender, location, and education—did not have significant effects. Exploratory factor analysis revealed two distinct factors: one encompassing psychological constructs and the other demographic characteristics, though some items showed high uniqueness, suggesting areas for scale improvement. The findings emphasize the critical role of happiness in life satisfaction, with implications for well-being interventions and psychological research