Multilevel analysis of teacher professional well-being and its influential factors based on TALIS data

Abstract

The current study examines how teachers’ professional wellbeing is affected by teacher-level and school-level factors using the TALIS 2018 data. Teacher-level factors consist of teachers’ instructional practices and teachers’ professional practices and school-level factors include school climate, school leadership styles and workload. The Hierarchical Linear Modeling (HLM) was used to examine whether the principals’ leadership, school climate and workload and teachers’ instructional practices and teachers’ professional practices explain the variation in teacher self-efficacy, teacher job satisfaction, and motivation and perceptions net of several important teacher-level and school-level control variables. The results revealed that both the teacher- and school-level factors were significantly related to teachers’ professional wellbeing. These findings were discussed concerning five countries of Canada, China, Finland, Japan and Singapore. The implications of the findings for improving teachers’ professional wellbeing are discussed.