TY - CONF
T1 - Bivariate logistic models for the analysis of the students' University "success"
AU - Enea, Marco
AU - Attanasio, Massimo
PY - 2012
Y1 - 2012
N2 - We analyze the students’ success at University by considering their performancein terms of both “qualitative performance”, measured by their grade average,and “quantitative performance”, measured by University Credits accumulated. Tojointly model both marginal and association relationships with covariates, the analysishas been carried out by fitting a bivariate ordered logistic model (BOLM), ina nonparametric fashion, by penalized maximum likelihood estimation. The advantagesof such model are in terms of parsimony and parameters interpretation, whilepreserving goodness-of-fit. The application regards an engineering student (ES) cohortfrom the University of Palermo.
AB - We analyze the students’ success at University by considering their performancein terms of both “qualitative performance”, measured by their grade average,and “quantitative performance”, measured by University Credits accumulated. Tojointly model both marginal and association relationships with covariates, the analysishas been carried out by fitting a bivariate ordered logistic model (BOLM), ina nonparametric fashion, by penalized maximum likelihood estimation. The advantagesof such model are in terms of parsimony and parameters interpretation, whilepreserving goodness-of-fit. The application regards an engineering student (ES) cohortfrom the University of Palermo.
KW - bivariate ordered logistic models
KW - penalized likelihood
KW - bivariate ordered logistic models
KW - penalized likelihood
UR - http://hdl.handle.net/10447/63523
M3 - Other
ER -