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

Shamaila Athar, Athar Azeem, Jawad Tariq, Sana Shahid
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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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家庭、自主、健康、财务满意度和运气是幸福的关键预测因素:来自2018年巴基斯坦世界价值观调查的二次分析证据
该研究通过对2018年巴基斯坦世界价值观调查(n = 1937)进行二次数据分析,调查了与幸福相关的因素。具体来说,家庭、健康、自主、财务满意度和运气在决定幸福中的作用与其他社会人口变量一起被调查。采用SPSS (v. 25)软件对数据进行分析,并采用有序逻辑回归评估关键预测因子与幸福感的关系。在多元模型中发现,来自农村地区的受访者(p < 0.001)、不识字的受访者(p < 0.01)、不认为家庭很重要的受访者(p < 0.05)、健康状况很差的受访者(p < 0.001)和相信运气的受访者(p < 0.001)的幸福几率较低。自主性越高,幸福感越高(p < 0.01),财务满意度越高(p < 0.001)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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