6533b82ffe1ef96bd1294b92

RESEARCH PRODUCT

Hints of latent drivers investigating university student performance

Giovanni BoscainoGiada Adelfio

subject

student performance indicator random effects quantile regressionSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statistica

description

Job market, nowadays, asks for higher and higher skills and competences. Therefore, also the measurement and assessment of the university students performance are crucial issues for policy makers. Although the scientific literature provides several papers investigating the main determinants of university student performance, often results are very different, and they seem to hold just in very specific contexts. This paper aims to contribute to the international literature, focusing on the role of student specific characteristics, supporting the idea that unobservable variables (such as motivation, aptitudes or abilities) should be more investigated.

http://hdl.handle.net/10447/298150