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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

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  • Lucio Masserini

    (University of Pisa)

  • Matilde Bini

    (European University of Rome)

  • Monica Pratesi

    (University of Pisa)

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.

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  • Lucio Masserini & Matilde Bini & Monica Pratesi, 2017. "Effectiveness of non-selective evaluation test scores for predicting first-year performance in university career: a zero-inflated beta regression approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(2), pages 693-708, March.
    • Handle: RePEc:spr:qualqt:v:51:y:2017:i:2:d:10.1007_s11135-016-0433-z
    DOI: 10.1007/s11135-016-0433-z
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    1. Carmen Aina & Lorenzo Cappellari & Marco Francesconi, 2010. "Student Performance may not Improve when Universities are Choosier," CESifo Working Paper Series 3264, CESifo.
    2. Jacqueline Fleming & Nancy Garcia, 1998. "Are Standardized Tests Fair to African Americans?," The Journal of Higher Education, Taylor & Francis Journals, vol. 69(5), pages 471-495, September.
    3. Barndorff-Nielsen, O. E. & Jørgensen, B., 1991. "Some parametric models on the simplex," Journal of Multivariate Analysis, Elsevier, vol. 39(1), pages 106-116, October.
    4. Silvia Ferrari & Francisco Cribari-Neto, 2004. "Beta Regression for Modelling Rates and Proportions," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(7), pages 799-815.
    5. Raydonal Ospina & Silvia Ferrari, 2010. "Inflated beta distributions," Statistical Papers, Springer, vol. 51(1), pages 111-126, January.
    6. Benjamin E. Hermalin & Nancy E. Wallace, 1994. "The Determinants of Efficiency and Solvency in Savings and Loans," RAND Journal of Economics, The RAND Corporation, vol. 25(3), pages 361-381, Autumn.
    7. By Vincenzo Carrieri & Marcello D’Amato & Roberto Zotti, 2015. "On the causal effects of selective admission policies on students’ performances: evidence from a quasi-experiment in a large Italian university," Oxford Economic Papers, Oxford University Press, vol. 67(4), pages 1034-1056.
    8. Ospina, Raydonal & Ferrari, Silvia L.P., 2012. "A general class of zero-or-one inflated beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 56(6), pages 1609-1623.
    9. Cox, Christopher, 1996. "Nonlinear quasi-likelihood models: applications to continuous proportions," Computational Statistics & Data Analysis, Elsevier, vol. 21(4), pages 449-461, April.
    10. Paolino, Philip, 2001. "Maximum Likelihood Estimation of Models with Beta-Distributed Dependent Variables," Political Analysis, Cambridge University Press, vol. 9(4), pages 325-346, January.
    11. Simas, Alexandre B. & Barreto-Souza, Wagner & Rocha, Andréa V., 2010. "Improved estimators for a general class of beta regression models," Computational Statistics & Data Analysis, Elsevier, vol. 54(2), pages 348-366, February.
    12. Papke, Leslie E & Wooldridge, Jeffrey M, 1996. "Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 619-632, Nov.-Dec..
    13. Geiser, Saul & Maria Veronica Santelices, 2007. "Validity Of High-School Grades In Predicting Student Success Beyond The Freshman Year: High-School Record vs. Standardized Tests as Indicators of Four-Year College Outcomes," University of California at Berkeley, Center for Studies in Higher Education qt7306z0zf, Center for Studies in Higher Education, UC Berkeley.
    14. Michael J. Barclay & Clifford W. Smith & Ross L. Watts, 1995. "The Determinants Of Corporate Leverage And Dividend Policies," Journal of Applied Corporate Finance, Morgan Stanley, vol. 7(4), pages 4-19, January.
    15. R. A. Rigby & D. M. Stasinopoulos, 2005. "Generalized additive models for location, scale and shape," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 507-554, June.
    16. Stasinopoulos, D. Mikis & Rigby, Robert A., 2007. "Generalized Additive Models for Location Scale and Shape (GAMLSS) in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 23(i07).
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    3. Hildete P. Pinheiro & Rafael P. Maia & Eufrásio A. Lima Neto & Mariana Rodrigues-Motta, 2019. "Zero-one augmented beta and zero-inflated discrete models with heterogeneous dispersion for the analysis of student academic performance," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(4), pages 749-767, December.

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