Family, Autonomy, Health, Financial Satisfaction, and Luck as key predictors of Happiness: Evidence from secondary analysis of World Values Survey Pakistan 2018

Authors

  • Shamaila Athar Assistant Professor, Department of Sociology, Forman Christian College (A Chartered University), Lahore, Pakistan
  • Athar Azeem Assistant Professor, Department of Sociology, Forman Christian College (A Chartered University), Lahore, Pakistan
  • Jawad Tariq Assistant Professor, Department of Sociology & Coordinator, Population Research Center, Forman Christian College (A Chartered University), Lahore, Pakistan
  • Sana Shahid Lecturer Sociology, Lahore Business School, University of Lahore, Lahore, Pakistan

DOI:

https://doi.org/10.47067/ramss.v6i2.345

Keywords:

Happiness, Autonomy, Family, Health, Luck

Abstract

The study investigated the factors that are related to happiness by performing secondary data analysis of World Values Survey Pakistan 2018 (n = 1937). Specifically, the role of family, health, autonomy, financial satisfaction, and luck in determining happiness was investigated along with other socio-demographic variables. Data was analyzed using SPSS (v. 25) and ordinal logistic regression was conducted to assess the relationship of key predictors with happiness. It was found, in the multivariate model that the odds of happiness were lower in respondents belonging to rural areas (p < .001), who were illiterate (p < .01), who did not consider family to be very important (p < .05), who reported very poor health (p < .001), and who believed in luck (p < .001). The odds of happiness increased with higher autonomy (p < .01) and higher financial satisfaction (p < .001).

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Published

2023-06-30

How to Cite

Athar, S. ., Azeem, A. ., Tariq, J. ., & Shahid, S. . (2023). Family, Autonomy, Health, Financial Satisfaction, and Luck as key predictors of Happiness: Evidence from secondary analysis of World Values Survey Pakistan 2018. Review of Applied Management and Social Sciences, 6(2), 481-490. https://doi.org/10.47067/ramss.v6i2.345