Article
Does Work Engagement Effectively Predict Subjective Well-Being? : A Meta-Analysis Using R Statistical Software
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Abstract
Does work engagement effectively predict subjective well-being? In this paper, we investigated the relationship between work engagement and subjective well-being by synthesizing 176 effects from 59 studies involving 21927 subjects. The results showed that work engagement were positively correlated with subjective well-being, while job burnout were negatively correlated with subjective well-being. Literature sources significantly adjusted the relationship among work engagement, job burnout and subjective well-being. The paper proved that work engagement and subjective well-being are closely related, and literature sources may play a moderating role.
Keywords
Meta-analysis, work engagement, subjective well-being, R Statistical Software, 91E99
Citation
Ding, H. & Si, S. (2023). Does work engagement effectively predict subjective well-being? : A meta-analysis using r statistical software. Applied Mathematics and Nonlinear Sciences, 8(2). https://doi.org/10.2478/amns.2023.2.01128
H. Ding and S. Si, “Does work engagement effectively predict subjective well-being? : A meta-analysis using r statistical software,” Applied Mathematics and Nonlinear Sciences, vol. 8, no. 2, 2023, doi: 10.2478/amns.2023.2.01128.
Ding H, Si S. Does work engagement effectively predict subjective well-being? : A meta-analysis using r statistical software. Applied Mathematics and Nonlinear Sciences. 2023;8(2). doi:10.2478/amns.2023.2.01128.
Ding, H. and Si, S. (2023), ‘Does work engagement effectively predict subjective well-being? : A meta-analysis using r statistical software’, Applied Mathematics and Nonlinear Sciences, 8(2). Available at: https://doi.org/10.2478/amns.2023.2.01128.
Ding, Hui, and Shoujing Si. “Does Work Engagement Effectively Predict Subjective Well-being? : a Meta-analysis Using R Statistical Software.” Applied Mathematics and Nonlinear Sciences, vol. 8, no. 2, 2023. https://doi.org/10.2478/amns.2023.2.01128.
Ding, Hui, and Shoujing Si. “Does Work Engagement Effectively Predict Subjective Well-being? : a Meta-analysis Using R Statistical Software.” Applied Mathematics and Nonlinear Sciences 8, no. 2 (2023). https://doi.org/10.2478/amns.2023.2.01128.
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Published by: Engineering Journals


