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Quantile regression for the evaluation of student satisfaction

Authors: D. VISTOCCO; DAVINO, CRISTINA;

Quantile regression for the evaluation of student satisfaction

Abstract

This paper aims to analyse the internal effectiveness of a University educational process through quantile regression. Such approach allows to take into account the effect the main features of a course play on student satisfaction. As a matter of fact quantile regression allows to focus on the effects that the explanatory variables have on the entire conditional distribution of the dependent variable and it is then able to catch the different effect of course features for unsatisfied and very satisfied students. Moreover, the quantile regression estimates are used to detect typologies either exploiting a stratification variable or using similarities in the dependence model.

Country
Italy
Keywords

quantile regression, student satisfaction, quantile regression; student satisfaction, quantile regression, student satisfaction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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