<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Does Work Engagement Effectively Predict Subjective Well-Being? : A Meta-Analysis Using R Statistical Software

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Does work engagement effectively predict subjective well-being? In this paper, we investigated the relationship between work engagement and subjective...

Does Work Engagement Effectively Predict Subjective Well-Being? : A Meta-Analysis Using R Statistical Software

Online veröffentlicht: 25. Sept. 2023

Seitenbereich: 3259 - 3270

Eingereicht: 28. Juli 2023

Akzeptiert: 24. Aug. 2023

DOI: https://doi.org/10.2478/amns.2023.2.01128

Schlüsselwörter
Meta-analysis, work engagement, subjective well-being, R Statistical Software

© 2023 Hui Ding et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Does Work Engagement Effectively Predict Subjective Well-Being? : A Meta-Analysis Using R Statistical Software

Online veröffentlicht: 25. Sept. 2023

Seitenbereich: 3259 - 3270

Eingereicht: 28. Juli 2023

Akzeptiert: 24. Aug. 2023

DOI: https://doi.org/10.2478/amns.2023.2.01128

SchlüsselwörterMeta-analysis, work engagement, subjective well-being, R Statistical Software

© 2023 Hui Ding et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Meta-analysis, work engagement, subjective well-being, R Statistical Software