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

被引：0
作者：
Ding H. [1 ]
Si S. [2 ]
机构：
[1] School of Marxism, Anhui Vocational College of Defense Technology, Anhui, Lu'an
[2] School of Economic and Trade Management, Anhui Vocational College of Defense Technology, Anhui, Lu'an
来源：
Applied Mathematics and Nonlinear Sciences | 2023年 / 8卷 / 02期
关键词：
Meta-analysis; R Statistical Software; subjective well-being; work engagement;
D O I：
10.2478/amns.2023.2.01128
中图分类号：
学科分类号：
摘要：
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. © 2023 Hui Ding et al., published by Sciendo.
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页码：3259 / 3270
页数：11
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