Pages that link to "Item:Q2135906"
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The following pages link to Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients (Q2135906):
Displaying 9 items.
- Exploiting TIMSS and PIRLS combined data: multivariate multilevel modelling of student achievement (Q512454) (← links)
- Heterogeneity, school-effects and the north/south achievement gap in Italian secondary education: evidence from a three-level mixed model (Q518891) (← links)
- Student and school performance across countries: a machine learning approach (Q1749516) (← links)
- Semiparametric multinomial mixed-effects models: a university students profiling tool (Q2170415) (← links)
- A multilevel finite mixture item response model to cluster examinees and schools (Q2418254) (← links)
- A Model-based Approach to Measure School Achievements in Latent Groups of Students: A Simulation Study (Q2816695) (← links)
- Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements (Q5138620) (← links)
- (Q5207225) (← links)
- A new bivariate autoregressive model driven by logistic regression (Q6060866) (← links)