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新冠疫情期间德国教师工作满意度的预测因素:一项全国性在线问卷调查的横断面结果

Predictors of job satisfaction among teachers in Germany during the SARS-CoV-2 pandemic: cross-sectional results of a nationwide online questionnaire.

作者信息

Dicks Theresa, Eggert Viktoria, Koestner Clemens, Zähme Carolina, Beutel Till, Kalo Kristin, Letzel Stephan, Dietz Pavel

机构信息

Institute of Occupational, Social and Environmental Medicine, University Medical Center of the University of Mainz, Mainz, Germany.

Institute for Teachers' Health, University Medical Center of the Johannes Gutenberg University of Mainz, Mainz, Germany.

出版信息

Front Psychol. 2023 May 26;14:1168647. doi: 10.3389/fpsyg.2023.1168647. eCollection 2023.

Abstract

INTRODUCTION

During the SARS-CoV-2 pandemic teaching was changed several times to distance learning. To consider the associated stresses and challenges for teachers a nationwide cross-sectional study was performed in March 2021 in which  = 31,089 teachers from Germany participated.

METHODS

A multiple linear regression model with stepwise inclusion of thematically sorted variables (sociodemographic, SARS-CoV-2- and work-related variables) was used to identify relevant predictors of job satisfaction.

RESULTS

The analysis revealed that work-related variables were significant predictors of job satisfaction. In the third regression model, when all variables are included the adjusted was 0.364. Overall, the results showed that, e.g., work predictability ( = 0.097), influence at work ( = 0.118), and meaning of work ( = 0.212) increased job satisfaction. In contrast, increased emotional exhaustion ( = -0.016), feelings of unfair treatment ( = -0.048), and work family conflicts ( = -0.154) deteriorated job satisfaction.

DISCUSSION

The results indicate that future research should focus especially the work-related topics in more detail and that job satisfaction is a useful concept for analyzing working conditions from a public health point of view.

摘要

引言

在严重急性呼吸综合征冠状病毒2(SARS-CoV-2)大流行期间,教学多次转变为远程学习。为了考量教师面临的相关压力和挑战,2021年3月开展了一项全国性横断面研究,来自德国的31,089名教师参与其中。

方法

使用逐步纳入按主题分类变量(社会人口统计学、SARS-CoV-2及工作相关变量)的多元线性回归模型来确定工作满意度的相关预测因素。

结果

分析显示,工作相关变量是工作满意度的重要预测因素。在第三个回归模型中,当纳入所有变量时,调整后的[具体指标未给出]为0.364。总体而言,结果表明,例如工作可预测性([系数值未给出] = 0.097)、工作影响力([系数值未给出] = 0.118)和工作意义([系数值未给出] = 0.212)会提高工作满意度。相反,情绪耗竭加剧([系数值未给出] = -0.016)、感觉受到不公平对待([系数值未给出] = -0.048)以及工作与家庭冲突([系数值未给出] = -0.154)会降低工作满意度。

讨论

结果表明,未来研究应特别更详细地关注与工作相关的主题,并且从公共卫生角度来看,工作满意度是分析工作条件的一个有用概念。

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