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Effectiveness of non-selective evaluation test scores for predicting first-year performance in university career: a zero-inflated beta regression approach

Effectiveness of non-selective evaluation test scores for predicting first-year performance in... The background preparation of students entering the university system is checked through evaluation tests in Italy. The test is non-selective in most degree programmes, as it does not preclude the possibility of enrolling in the student’s chosen program. However, the initial preparation and attitude of the students seem to be key issues in explaining their performance and predicting the performance outcome of their first-year in university. The evaluation test results are used to predict the students’ performance at the end of the first year by a zero inflated beta regression model. The analysis was conducted on the evaluation test carried out in September 2013 with students at the Department of Economics and Management, University of Pisa. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Effectiveness of non-selective evaluation test scores for predicting first-year performance in university career: a zero-inflated beta regression approach

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References (54)

Publisher
Springer Journals
Copyright
Copyright © 2016 by Springer Science+Business Media Dordrecht
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
DOI
10.1007/s11135-016-0433-z
Publisher site
See Article on Publisher Site

Abstract

The background preparation of students entering the university system is checked through evaluation tests in Italy. The test is non-selective in most degree programmes, as it does not preclude the possibility of enrolling in the student’s chosen program. However, the initial preparation and attitude of the students seem to be key issues in explaining their performance and predicting the performance outcome of their first-year in university. The evaluation test results are used to predict the students’ performance at the end of the first year by a zero inflated beta regression model. The analysis was conducted on the evaluation test carried out in September 2013 with students at the Department of Economics and Management, University of Pisa.

Journal

Quality & QuantitySpringer Journals

Published: Oct 5, 2016

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