Pages that link to "Item:Q512454"
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The following pages link to Exploiting TIMSS and PIRLS combined data: multivariate multilevel modelling of student achievement (Q512454):
Displaying 11 items.
- 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)
- Studying the relationship between anxiety and school achievement: evidence from PISA data (Q2125964) (← links)
- Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients (Q2135906) (← links)
- A multilevel finite mixture item response model to cluster examinees and schools (Q2418254) (← links)
- Using plausible values in secondary analysis in large-scale assessments (Q4595912) (← links)
- Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements (Q5138620) (← links)
- Assessing maths learning gaps using Italian longitudinal data (Q6091280) (← links)
- A multilevel structured latent curve model for disaggregating student and school contributions to learning (Q6109181) (← links)
- Identifying and supporting academically low-performing schools in a developing country: an application of a specialized multilevel IRT model to PISA-D assessment data (Q6160331) (← links)
- A two-step estimator for multilevel latent class analysis with covariates (Q6198859) (← links)
