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2002 - The Effect of Schools and Classes on Mathematics Achievement

Attribution: Opdenakker, Marie-Christine, Van Damme, Jan, De Fraine, Bieke, Van Landeghem, Georges, & Onghena, Patrick
Researchers: Bieke De FraineGeorges Van LandeghemJan Van DammeMarie-Christine OpdenakkerPatrick Onghena
University Affiliation: K.U. Leuven, Belgium
Email: Marie-Christine.Opdenakker@ped.kuleuven.ac.be
Research Question:
What are the effects of secondary schools, teachers, and classes on mathematics achievement.
Published: 1
Journal Name or Institutional Affiliation: School Effectiveness and School Improvement
Journal Entry: Vol. 13, No. 4, pp. 399-427
Year: 2002
Findings:
  • Schools and classes are important , although much of the variation in mathematics achievement is due to individual student characteristics.
  • Results indicate that both the school and class/teacher level are relevant for the mathematics achievement of students. Especially the class composition in terms of the level of initial cognitive ability and SES and -to a lesser extent- the learning climate were important for explaining variance at the class and school levels.
  • Results report important recruitment differences between schools and classes within schools. The group composition at the class level remained very important for the explanation of differences in mathematics achievement.
  • The learning climate in the class, which correlates positively with group composition, explained an additional part of the variance.
  • At the school level, the proportion of girls was positively related to mathematics achievement.
  • Indications of differential effectiveness of classes and schools and of heteroscedasticity related to SES, average class SES, sex, and learning climate were found.
  • Results indicate that ability grouping is often beneficial for talented students. But often harmful for the less able ones.
Keywords: Academic AchievementClassroom CompositionGenderMathSESRegions: InternationalMethodologies: QuantitativeResearch Designs: N/AAnalysis Methods: Multilevel Models Sampling Frame:Math classes students
Sampling Types: NonrandomAnalysis Units: SchoolStudentData Types: Quantitative-Cross Sectional
Data Description:
  • A subsample of 2,552 students belonging to 150 mathematics classes and to 57 secondary schools of the data from the LOSO-project of Van Damme and colleagues.
  • The analysis with the relevant student, class, and school variables included in the model of mathematics achievement is based on a dataset with 1,936 students, 131 classes and 47 schools.
  • Analysis included student level and school level variables.
  • DV: Mathematics achievement test (end of first grade)
  • IV: Student level: initial cognitive ability, family SES, achievement motivation, immunity to stress, sex, language spoken at home; school-level variables: mean initial cognitive ability, mean family SES, mean achievement motivation, mean immunity to stress, proportion of females, proportion speaking Dutch at home
Theoretical Framework:
Relevance:
Archives: K-12 Integration, Desegregation, and Segregation Abstracts
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