The paper analyses the Italian sample of the TIMSS&PIRLS 2011 Combined International Database, containing the results of the assessment on Reading, Mathematics and Science for a sample of 4th grade pupils, alongside with several variables about the pupils, their teachers and their schools. This is the first time that TIMSS and PIRLS surveys are conducted on the same sample, thus allowing to jointly analyse the achievement for the considered subjects. We propose a multivariate multilevel model, with pupils nested within classes, to explore the determinants of achievement in the three subjects.
Grilli, L., Pennoni, F., Rampichini, C., Romeo, I. (2014). Multivariate multilevel modelling of student achievement data. In Proceedings SIS 2014 47th Scientific meeting of the Italian Statistical Society (pp.1-6). CUEC Cooperativa Universitaria Editrice Cagliaritana.
Multivariate multilevel modelling of student achievement data
PENNONI, FULVIA;ROMEO, ISABELLA
2014
Abstract
The paper analyses the Italian sample of the TIMSS&PIRLS 2011 Combined International Database, containing the results of the assessment on Reading, Mathematics and Science for a sample of 4th grade pupils, alongside with several variables about the pupils, their teachers and their schools. This is the first time that TIMSS and PIRLS surveys are conducted on the same sample, thus allowing to jointly analyse the achievement for the considered subjects. We propose a multivariate multilevel model, with pupils nested within classes, to explore the determinants of achievement in the three subjects.
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