We propose a multivariate multilevel model to analyse the Italian sample of the TIMSS&PIRLS 2011 Combined International Database on 4th grade students (Foy, 2013). The multivariate model jointly considers educational achievement on Reading, Mathematics and Science, thus allowing us to test for differential effects of the covariates on the three scores. This approach represents an advance with respect to official reports, where the three scores are analysed separately. Moreover, the multilevel approach allows us to disentangle student and contextual factors affecting achievement, also considering territorial differences in wealth.
Griili, L., Pennoni, F., Rampichini, C., Romeo, I. (2015). Exploiting TIMSS & PIRLS combined data: multivariate multilevel modelling of student achievement. Intervento presentato a: internal meeting of the FIRB “Futuro in ricerca” 2012, Roma.
Exploiting TIMSS & PIRLS combined data: multivariate multilevel modelling of student achievement
PENNONI, FULVIA;ROMEO, ISABELLA
2015
Abstract
We propose a multivariate multilevel model to analyse the Italian sample of the TIMSS&PIRLS 2011 Combined International Database on 4th grade students (Foy, 2013). The multivariate model jointly considers educational achievement on Reading, Mathematics and Science, thus allowing us to test for differential effects of the covariates on the three scores. This approach represents an advance with respect to official reports, where the three scores are analysed separately. Moreover, the multilevel approach allows us to disentangle student and contextual factors affecting achievement, also considering territorial differences in wealth.
| File | Dimensione | Formato | |
|---|---|---|---|
|
Abs_Gril_Penn_Ramp_Rome15.pdf
accesso aperto
Dimensione
187.88 kB
Formato
Adobe PDF
|
187.88 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
