Burnout and Online Education: Adaptation and Validation of scale during Pandemic

Abstract

During the COVID-19 pandemic, online education represented a serious alternative to continuing working life in higher education institutions (HEIs). Teachers around the world embraced a new role, adopting and using a wide range of technological and virtual tools to continue performing their activities and with the aim to interact with students and to continue teaching. For this reason, research related to seek and identify factors for the teachers’ well-being is essential for educational leaders. Regarding these ideas, this paper aims to test the construct validity of a Mexican version of the Maslach Burnout Inventory-Educators Survey (MBI-ES) of Maslach et al. (1997), adapted to online education. Participants consisted of 406 Mexican university teachers who emergently switched from traditional to online educational practices during the SARS-CoV-2 virus outbreak. In order to test the factor structure of three alternative models based on Szigeti et al. (2016), the authors performed exploratory and confirmatory factor analyses (Ferrando & Lorenzo-Seva, 2018). Results showed that the model with three domain factors has the best fit. Besides, our findings show that the three-factor structure of the Mexican adaptation of MBI-ES is valid and reliable for the analysis of online education because the loading of all factors was representative.