What Can We Learn About Improving Teacher Retention from the Teaching and Learning International Survey (TALIS)?
Author(s):
Sam Sims (presenting / submitting)
Conference:
ECER 2017
Format:
Paper

Session Information

11 SES 06, Improvement of Teaching Processes

Paper Session

Time:
2017-08-23
15:30-17:00
Room:
W2.10
Chair:
Joanna Williamson

Contribution

Teacher shortages are a widespread and recurring problem in public school systems (Dolton 2006; White & Smith 2005). Faced with shortages, school leaders tend to either lower recruitment standards, make increased use of temporary teachers or increase class sizes (Smithers and Robinson 2000), all of which have been linked with reduced pupil attainment (Mocetti 2012; Fredriksson et al 2013; Schanzenbach 2006).

Low retention is an important reason for teacher shortages in many countries. Several studies have found the proportion of disadvantaged pupils in a school to be the best predictor of high teacher turnover, apparently leaving little scope for improving retention. However, a recent reinterpretation of the literature found that in studies in which efforts were made to control for the quality of teachers’ working environment, “all or most” of the relationship between student characteristics and teacher turnover was explained away (Simon & Johnson 2015, p14). Johnson and Birkeland (2002, p609) conceptualise the importance of working conditions as enabling teachers to practice without impediment, develop their skills and therefore obtain a “sense of success”, which motivates them to stay in the classroom.

However, despite these recent advances, the existing literature on how working conditions affect teacher retention has some important limitations. In particular, there is almost no quantitative research on European education systems. The OECD's Teaching and Learning International Survey (TALIS) is part of a trend toward supra-national bodies collecting cross-country data on education.

 

Method

In 2013 TALIS collected detailed information on working conditions and teacher job evaluations from a representative set of teachers in 34 different countries and regions. This paper uses the TALIS data to explore the links between working conditions and teacher retention in order to address this gap in the literature. The analysis reveals wide cross-country variation in teacher job satisfaction and desire to move school. Exploratory factor analysis is used to develop a parsimonious set of working condition scores. These scores are then used to models the links between working conditions and teacher job satisfaction and desire to move school. The results show strong associations between these outcomes and the quality of leadership, the extent of teacher cooperation and the quality of professional development, among other factors. Moreover, when working conditions are controlled for, there is no longer any association between the level of disadvantage of pupils at a school and teacher job satisfaction and desire to move school.

Expected Outcomes

This study can inform the practice of school leaders looking to improve teacher retention and, in doing so, demonstrates the value of international education datasets for improving education.

References

Dolton, P.J., 2006. Teacher supply. Handbook of the Economics of Education, 2, pp.1079-1161. Fredriksson, P., Öckert, B. and Oosterbeek, H., 2013. Long-term effects of class size. The Quarterly Journal of Economics, 128(1), pp.249-285. Johnson, S.M. and Birkeland, S.E., 2003. Pursuing a “sense of success”: New teachers explain their career decisions. American Educational Research Journal, 40(3), pp.581-617. Mocetti, S., 2012. Educational choices and the selection process: before and after compulsory schooling. Education Economics, 20(2), pp.189-209. Simon, N.S. and Johnson, S.M., 2015. Teacher turnover in high-poverty schools: What we know and can do. Teachers College Record, 117(3), pp.1-36. Smithers, A., and Robinson, P. 2000. Factors affecting teachers' decisions to leave the profession. Department for Education and Skills Research Report RR430. Schanzenbach, D.W., 2006. What have researchers learned from Project STAR? Brookings Papers on Education Policy, 9, pp.205-228. White, P., and Smith, E. 2005. What can PISA tell us about teacher shortages? European Journal of Education, 40(1), pp.93-112.

Author Information

Sam Sims (presenting / submitting)
UCL
UCL Institute of Education
London

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