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Modelling the relationships between teacher working conditions, job satisfaction and workplace mobility
Author(s) -
Sims Sam
Publication year - 2020
Publication title -
british educational research journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 89
eISSN - 1469-3518
pISSN - 0141-1926
DOI - 10.1002/berj.3578
Subject(s) - job satisfaction , psychology , economic shortage , regression analysis , scope (computer science) , set (abstract data type) , working environment , social psychology , applied psychology , computer science , statistics , mathematics , linguistics , philosophy , government (linguistics) , programming language , mechanical engineering , engineering
Teacher shortages are a recurring problem in publicly funded schools, in part because of poor retention. Working conditions in schools are an important predictor of teacher job satisfaction and retention, yet research has so far made limited headway in identifying the specific aspects of the working environment which matter. This research uses representative data on state secondary school teachers in England in 2013 to derive an unusually rich set of working conditions variables. Regression analysis is used to model the relationships between working conditions, teacher job satisfaction and turnover intentions. The results show strong associations with the nature of school leadership, whether teachers have received training in the specific subjects they are assigned to teach and scope for career progression within the school. These results are robust to checks for common source bias. The study identifies ways in which schools can improve retention.