We analyze the students’ success at University by considering their performance in terms of both “qualitative performance”, measured by their grade average, and “quantitative performance”, measured by University Credits accumulated. To jointly model both marginal and association relationships with covariates, the analysis has been carried out by fitting a bivariate ordered logistic model (BOLM), in a nonparametric fashion, by penalized maximum likelihood estimation. The advantages of such model are in terms of parsimony and parameters interpretation, while preserving goodness-of-fit. The application regards an engineering student (ES) cohort from the University of Palermo.
Enea, M., & Attanasio, M. (2012). Bivariate logistic models for the analysis of the students' University "success". In Proceedings of the 46th Scientific Meeting of the Italian Statistical Society. Cleup.
Autori: | Enea, M.; Attanasio, M. |
Titolo: | Bivariate logistic models for the analysis of the students' University "success" |
Settore Scientifico Disciplinare: | Settore SECS-S/01 - Statistica Settore SECS-S/05 - Statistica Sociale |
Data di creazione: | 2012-06-22 |
Nome del convegno: | Scientific Meeting of the Italian Statistical Society |
Luogo del convegno: | Rome |
Anno del convegno: | June, 20-22, 2012 |
Numero del convegno: | 46 |
Data di pubblicazione: | 2012 |
Numero di pagine: | 00 |
Citazione: | Enea, M., & Attanasio, M. (2012). Bivariate logistic models for the analysis of the students' University "success". In Proceedings of the 46th Scientific Meeting of the Italian Statistical Society. Cleup. |
Tipologia: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
Appare nelle tipologie: | 0 - Proceedings (TIPOLOGIA NON ATTIVA) |
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