CFE-CMStatistics 2024: Start Registration
View Submission - CFECMStatistics2024
A0495
Title: Fostering resilience at the university: Statistical models for assessing the influence of high schools and peers Authors:  Silvia Columbu - University of Cagliari (Italy)
Isabella Sulis - University of Cagliari (Italy) [presenting]
Mariano Porcu - University of Cagliari (Italy)
Cristian Usala - University of Cagliari (Italy)
Abstract: Factors influencing schools' ability to foster fairness and inclusion in higher education are examined. Translating the PISA OECD definition of resilient students in the university framework, resilient university students are identified based on their socioeconomic status and their academic performance by the end of their first year. Multiple data sources were integrated, including the MOBYSU.IT dataset, which contains the Italian National Student Archive (ANS) microdata of students enrolled in Italian universities, and the INVALSI surveys, which provide information on students' family socioeconomic conditions. A multilevel approach was adopted to assess the impact of high school and peer characteristics on the likelihood of fostering resilient behaviors at the university. Combining multilevel modelling and latent modelling approaches enabled an understanding of the role of school characteristics in creating profiles (i.e., latent classes) of schools that effectively balance quality and equity in their students' university outcomes.