Growth models for the progress test in Italian dentistry degree programs

Giulio Biscardi, Leonardo Grilli (), Carla Rampichini, Laura Antonucci and Corrado Crocetta
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Giulio Biscardi: University of Florence
Leonardo Grilli: University of Florence
Carla Rampichini: University of Florence
Laura Antonucci: University of Foggia
Corrado Crocetta: University of Bari

Quality & Quantity: International Journal of Methodology, 2025, vol. 59, issue 2, No 18, 1445-1459

Abstract: Abstract In 2017, for the first time in Italy, the students enrolled in Dental Schools performed a Progress test. The results allow us to analyse the evolution of students’ abilities during the course years. Furthermore, we can evaluate the coherence of the learning pattern with the core curriculum. We analyse the results of the Progress Test with a mixed-effects growth-curve binomial model for the number of correct answers, using fixed effects for the topics and random effects for the universities. The learning trajectories for each topic are modelled via polynomials of time. Using the Empirical Bayes predictions of random effects, we obtain the trajectories for the Italian universities, which show substantial heterogeneity in the starting levels and growth rates. The results give insights into inequalities in the educational process across Italian universities to be exploited for planning interventions.

Keywords: Binomial growth curves; Empirical Bayes prediction; Mixed effect model; Random effects; University tests (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11135-024-02029-y

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