SHS Web of Conferences
Volume 26, 2016ERPA International Congresses on Education 2015 (ERPA 2015)
|Number of page(s)||8|
|Published online||26 April 2016|
Determinants of life satisfaction in Canada: A causal modeling approach
Concordia University of Edmonton, Edmonton, T5B4E4, Alberta, Canada
a Corresponding author: firstname.lastname@example.org
Most research studies on Life Satisfaction/Subjective Wellbeing (SWB) have focused on one main determinant and a variety of social demographic variables to delineate the determinants of life satisfaction. However, very few research studies examine life satisfaction from a holistic approach. The aim of this study was to utilize a holistic approach to construct a causal model and identify major determinants of life satisfaction. This study utilized data from the General Social Survey, with a sample size of 19,597. Several multiple regression models were run sequentially to estimate standardized path coefficients for the causal model. Overall, above average satisfaction with life was reported by Canadian respondents. Respondents who were female, younger, married, from high socioeconomic status background, born in Canada, very religious, and demonstrated high level of neighborhood interaction had greater satisfaction with life. Similarly, respondents had greater life satisfaction if they had better health, social contact, leisure activities, more time with family and friends, more enjoyment with volunteer activities, and a greater sense of belonging to the community. Our results suggest that a holistic approach is necessary for understanding the causal process of life satisfaction. A significant number of causal connections contradict some of the findings in literature today. We have provided some possible explanations for these anomalies and policy implications.
Key words: Causal model / holistic approach / life satisfaction / sociodemographic variables / subjective well-being
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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