1 citations · 1 across the 5 of their papers we have counts for
6 papers
Variable selection via knockoffs for clustered data
Silvia Bacci, Leonardo Grilli, Carla Rampichini
We extend the knockoffs method for selecting predictors to clustered data (cross-sectional or repeated measures). In the setting of clustered data, variable selection is complex be…
Variable selection via knockoffs in missing data settings with categorical predictors
Silvia Bacci, Emanuela Dreassi, Leonardo Grilli +1
Large-scale assessment data typically include numerous categorical variables, often affected by missing values. Motivated by the challenges arising in this framework, we extend the…
Conditioning on the pre-test versus gain score modeling: revisiting the controversy in a multilevel setting
Bruno Arpino, Silvia Bacci, Leonardo Grilli +2
We consider estimating the effect of a treatment on the progress of subjects tested both before and after treatment assignment. A vast literature compares the competing approaches…
Multiple imputation and selection of ordinal level 2 predictors in multilevel models. An analysis of the relationship between student ratings and teacher beliefs and practices
Leonardo Grilli, Maria Francesca Marino, Omar Paccagnella +1
The paper is motivated by the analysis of the relationship between ratings and teacher practices and beliefs, which are measured via a set of binary and ordinal items collected by…
Evaluation of student proficiency through a multidimensional finite mixture IRT model
Silvia Bacci, Francesco Bartolucci, Leonardo Grilli +1
In certain academic systems, a student can enroll for an exam immediately after the end of the teaching period or can postpone it to any later examination session, so that the grad…
Exploiting TIMSS and PIRLS combined data: multivariate multilevel modelling of student achievement
Leonardo Grilli, Fulvia Pennoni, Carla Rampichini +1
We exploit a multivariate multilevel model for the analysis of the Italian sample of the TIMSS\&PIRLS 2011 Combined International Database on fourth grade students. The multivariat…