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Determinants of the choice for professional teacher education programs: A multinomial multilevel approach

In: Investigaciones de Economía de la Educación 9

Author

Listed:
  • Mike Smet

    (KU Leuven)

  • Barbara Janssens

    (KU Leuven & Thomas More Antwerpen)

Abstract

In recent years, concerns have risen regarding the Flemish teacher labour market : there is a fear of a decreasing quality of inflowing students in teacher education programmes. In this paper we investigate the transition from secondary school to higher education in Flanders, more specifically to professional teacher education programms (i.e. Bacherlor in Education). We used merged administrative databases from the Flemish Department of Education in order to construct a longitudinal dataset, enabling to track individual students from secondary to higher education. We obtained data from the entire population of secondary school leavers in the academic year 2004-2005 (n=51.902). These data allow tracking individual students during their higher education career from the academic year 2005-2006 until 2011-2012. The data include individual demographic student characteristics, detailed individual enrolment information in secondary education and higher education and a number of secondary school characteristics. Since pupils are nested in schools and in municipalities multilevel estimation techniques were used to model the transition from secondary education to various potential higher education programmes. Both random intercepts and random slopes models were estimated. Our findings show that the odds of enrolment in teacher education programs are highly influenced by several individual, secondary school and regional characteristics. While the differences with academic bachelors have been found to be more pronounced when considering most of the determinants, the inflow in teacher education was also found to be substantially different from the inflow in other professional programs. However, not all variance that is detected at the level of secondary schools can be explained by secondary school characteristics.

Suggested Citation

  • Mike Smet & Barbara Janssens, 2014. "Determinants of the choice for professional teacher education programs: A multinomial multilevel approach," Investigaciones de Economía de la Educación volume 9, in: Adela García Aracil & Isabel Neira Gómez (ed.), Investigaciones de Economía de la Educación 9, edition 1, volume 9, chapter 41, pages 797-815, Asociación de Economía de la Educación.
    • Handle: RePEc:aec:ieed09:09-41
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    1. Jon Rasbash & George Leckie & Rebecca Pillinger & Jennifer Jenkins, 2010. "Children's educational progress: partitioning family, school and area effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(3), pages 657-682, July.
    2. George Leckie, 2009. "The complexity of school and neighbourhood effects and movements of pupils on school differences in models of educational achievement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(3), pages 537-554, June.
    3. Brooke Sykes & Sako Musterd, 2011. "Examining Neighbourhood and School Effects Simultaneously," Urban Studies, Urban Studies Journal Limited, vol. 48(7), pages 1307-1331, May.
    4. Jen, Min Hua & Jones, Kelvyn & Johnston, Ron, 2009. "Global variations in health: Evaluating Wilkinson's income inequality hypothesis using the World Values Survey," Social Science & Medicine, Elsevier, vol. 68(4), pages 643-653, February.
    5. Anh Ngoc Nguyen & Jim Taylor, 2003. "Post-high school choices: New evidence from a multinomial logit model," Journal of Population Economics, Springer;European Society for Population Economics, vol. 16(2), pages 287-306, May.
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