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2013 - Comparing Composition Effects in Two Education Systems: The Case of the Belgian Communities

Attribution: Danhier, Julien, & Martin, Emilie
Researchers: Emilie MartinJulien Danhier
University Affiliation: Université libre de Bruxelles
Email: jdanhier@ulb.ac.be; emilie.martin@ulb.ac.be
Research Question:
What factors explain the achievement gap between Belgiums two major linguistic communities : French and Dutch ?
Published: 0
Journal Name or Institutional Affiliation: N/A
Journal Entry: Presented at "Segregation, Immigration, and Educational Inequality" conference, Ghent, Belgium, September
Year: 2013
Findings:

The baseline model indicates that attending a school in the French part of the country has a negative influence on reading achievement.

In the student-level model, several findings were significant.

Being retained one grade year has a negative influence on reading performance. Being in a vocational education program also has a negative influence. Students from disadvantaged socioeconomic backgrounds, males, and students speaking another language at home perform worse as well. Non-European origin also has a significantly negative impact on achievement. However, when all student characteristics are included in the model, the achievement gap between the two communities (Flemish and French) remains the same, indicating that student’s background cannot sufficiently explain why Flemish (Belgian Dutch) schools present better reading outcomes.

In the school-level model testing compositional effects, academic and socioeconomic composition has an extra significant effect on reading achievement. The model also shows that part of the performance gap between Flemish and French communities is explained by school composition.

Modeling delay (retention) and vocational variables as random effects does not explain the achievement gap between communities.

The final model includes and interaction terms between community and academic composition as well as between community and socioeconomic composition. The effects are both significant, indicating that the academic and socioeconomic composition of schools depends on their location. In the Dutch-speaking community academic composition has a larger effect but in French-speaking communities, socioeconomic composition has a larger effect.

Keywords: Academic AchievementAchievement GapEthnicityReadingSES CompositionTrackingRegions: InternationalMethodologies: QuantitativeResearch Designs: Secondary Survey DataAnalysis Methods: Multilevel Models Sampling Frame:Belgian Dutch- and French-speaking students who are 15 years old in grade 7 or higher.
Sampling Types: RandomAnalysis Units: IndividualData Types: Quantitative-Cross Sectional
Data Description:
  • Data for the current study comes from the Programme for International Student Assessment (PISA) 2009. The total sample includes 470,000 students, 15-years old, from grade 7 or higher, in 65 countries.
  • The subsample used for analysis includes only the Belgian Dutch- and French-speaking subsamples. The sample was further restricted to regular full-time education structures, excluding part-time vocational education and education for students with special needs (23 schools). Schools with less than 10 respondents were also excluded (9 schools). The subsample used for analysis consists of 7,184 students grouped in 236 schools.
  • Dependent Variable: Reading achievement; measured using Rasch model method and includes five plausible values

    Independent Variables: 1) Student-Level: gender, vocational program, delay (grade retention), economic/social/cultural status, language spoken at home, non-European origin ; 2) School-Level: community, academic composition, socioeconomic composition

Theoretical Framework:
Relevance:
Archives: K-12 Integration, Desegregation, and Segregation Abstracts
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