Predictors of the Drop in School Marks in Secondary School: Evidence for Effects of Students’ Socio-Demographic Background

Authors

  • Florian Klapproth Medical School Berlin Calandrellistrasse 1-9 12247 Berlin Germany https://orcid.org/0000-0002-4598-837X
  • Romain Martin University of Luxembourg 2, avenue de l’Université 4365 Esch-sur-Alzette Luxembourg

DOI:

https://doi.org/10.18488/journal.61.2018.63.147.166

Abstract

Referring to the stage environment fit theory (Eccles and Midgley, 1989) we examined whether after the transition from Luxembourgish primary to secondary school students’ school marks would drop. Actually, using latent growth curve modeling it was found that school marks deteriorated in their main school subjects German, French, and mathematics. The drop of school marks was larger in mathematics than in languages. Moreover, the drop of school marks was affected by various socio-demographic variables as the students’ gender, their socio-economic background, and their ethnicity. This finding stimulates the assumption that certain subpopulations of students in Luxembourg receive different support in school, regardless of their academic competences. However, even students’ competences were predictive of the development of their school marks. In the vocational track, high achievers were more likely to drop in school marks than low achievers. We presume that this result indicates a lack of academic challenges in the vocational track, which might eventually hinder better performing students in keeping their initial high achievement level.

Keywords:

Drop of school marks, Secondary school, Socio-demographic background, Latent growth curve Modeling, Transition, Stage-environment fit theory, Luxembourg

Abstract Video

Downloads

Ivanovic D.M. (2020)
Gender gaps in the quality education measurement system (SIMCE) tests and in the university selection tests (PSU) outcomes in chilean school-age children: An eight-year follow-up study. Child Education: Perspectives, Opportunities and Challenges, 121-167.
Ghani E.K. (2019)
Effect of employees' understanding on risk management process on risk management: A case study in a non-profit organisation. International Journal of Financial Research, 10(3), 144-152.
10.5430/ijfr.v10n3p144
Nor S.M. (2019)
The sharing economy: Can registered homestay operators survive the challenges ahead?. International Journal of Innovation, Creativity and Change, 6(3), 312-338.
Kim S.A. (2019)
Trends in robotics-related curricula of elementary, middle, and high schools in Korea: A review of the 2007, 2011 and 2015 revised curricula. Universal Journal of Educational Research, 7(5), 114-128.
10.13189/ujer.2019.071513
Syukriyah Y. (2019)
Academic room monitoring and management framework. Universal Journal of Educational Research, 7(4), 52-59.
10.13189/ujer.2019.071408

Published

2018-07-06

How to Cite

Klapproth, F. ., & Martin, R. . (2018). Predictors of the Drop in School Marks in Secondary School: Evidence for Effects of Students’ Socio-Demographic Background. International Journal of Education and Practice, 6(3), 147–166. https://doi.org/10.18488/journal.61.2018.63.147.166

Issue

Section

Articles