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Modelling the relationships between teacher working conditions, job satisfaction and workplace mobility.

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Title: Modelling the relationships between teacher working conditions, job satisfaction and workplace mobility.
Authors: Sims, Sam
Source: British Educational Research Journal. Apr2020, Vol. 46 Issue 2, p301-320. 20p. 7 Charts, 3 Graphs.
Subjects: Work environment, Job satisfaction, Supply & demand of teachers, Secondary school teachers
Geographic Terms: England
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of British Educational Research Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Modelling the relationships between teacher working conditions, job satisfaction and workplace mobility.
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  Data: 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of British Educational Research Journal is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/berj.3578
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      – SubjectFull: Work environment
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      – SubjectFull: Job satisfaction
        Type: general
      – SubjectFull: Supply & demand of teachers
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      – SubjectFull: Secondary school teachers
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              Text: Apr2020
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