In the Italian academic system, a student can enroll for an exam immediately after the end of the teaching period or can postpone it; in this second case the exam result is missing. We propose an approach for the evaluation of a student performance throughout the course of study, accounting also for non attempted exams. The approach is based on an item response theory model that includes two discrete latent variables representing student performance and priority in selecting the exams to take. We explicitly account for non-ignorable missing observations as the indicators of attempted exams also contribute to measure the performance (within-item multidimensionality). The model also allows for individual covariates in its structural part.

Evaluation of Student Performance through a Multidimensional Finite Mixture IRT Model / Bacci, Silvia; Bartolucci, Francesco; Grilli, Leonardo; Rampichini, Carla. - In: MULTIVARIATE BEHAVIORAL RESEARCH. - ISSN 0027-3171. - STAMPA. - 52:(2017), pp. 732-746. [10.1080/00273171.2017.1361803]

Evaluation of Student Performance through a Multidimensional Finite Mixture IRT Model

BACCI, SILVIA;Grilli, Leonardo;Rampichini, Carla
2017

Abstract

In the Italian academic system, a student can enroll for an exam immediately after the end of the teaching period or can postpone it; in this second case the exam result is missing. We propose an approach for the evaluation of a student performance throughout the course of study, accounting also for non attempted exams. The approach is based on an item response theory model that includes two discrete latent variables representing student performance and priority in selecting the exams to take. We explicitly account for non-ignorable missing observations as the indicators of attempted exams also contribute to measure the performance (within-item multidimensionality). The model also allows for individual covariates in its structural part.
2017
52
732
746
Bacci, Silvia; Bartolucci, Francesco; Grilli, Leonardo; Rampichini, Carla
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1103013
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