工作投入
心理学
人格
结构方程建模
背景(考古学)
比例(比率)
社会心理学
工作(物理)
应用心理学
计算机科学
生物
机器学习
物理
工程类
古生物学
机械工程
量子力学
作者
Kun Dai,Yongliang Wang
标识
DOI:10.1080/01434632.2023.2174128
摘要
Recently, researchers have focused on various factors influencing work engagement, particularly in the EFL context. In this vein, this study was carried out to investigate the relationship among proactive personality, flow, and work engagement in China. In so doing, three instruments including Proactive Personality Scale, Work-Related Flow Inventory (WOLF), and Work and Well-Being Survey (UWES) were used. Employing a convenience sampling method, 350 English teachers were selected from 20 provinces in China. Structural equation modeling (SEM) was utilized to analyze the obtained data. The findings demonstrated a positive correlation among EFL teachers’ flow, proactive personality, and work engagement. The results of SEM also indicated that work engagement could be predicted by both flow and proactive personality; however, flow had more predictive power. The findings from this study have both theoretical and practical implications for second/foreign language researchers and different stakeholders.
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