Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/243483
Type: Artigo
Title: Academic performance of students from entrance to graduation via quasi u-statistics: a study at a Brazilian research university
Author: Maia, Rafael Pimentel
Pinheiro, Hildete Prisco
Pinheiro, Aluísio
Abstract: We present novel methodology to assess undergraduate students' performance. Emphasis is given to potential dissimilar behaviors due to high school background and gender. The proposed method is based on measures of diversity and on the decomposability of quasi U-statistics to define average distances between and within groups. One advantage of the new method over the classical analysis of variance is its robustness to distributional deviation from the normality. Moreover, compared with other nonparametric methods, it also includes tests for interaction effects which are not rank transform procedures. The variance of the test statistic is estimated by jackknife and p-values are computed using its asymptotic distribution. A college education performance data is analyzed. The data set is formed by students who entered in the University of Campinas, Brazil, between 1997 and 2000. Their academic performance has been recorded until graduation or drop-out. The classical ANOVA points to significant effects of gender, type of high school and working status. However, the residual analysis indicates a highly significant deviation from normality. The quasi U-statistics nonparametric tests proposed here present significant effect of interaction between type of high school and gender but did not present a significant effect of working status. The proposed nonparametric method also results in smaller error variances, illustrating its robustness against model misspecification.
We present novel methodology to assess undergraduate students' performance. Emphasis is given to potential dissimilar behaviors due to high school background and gender. The proposed method is based on measures of diversity and on the decomposability of quasi U-statistics to define average distances between and within groups. One advantage of the new method over the classical analysis of variance is its robustness to distributional deviation from the normality. Moreover, compared with other nonparametric methods, it also includes tests for interaction effects which are not rank transform procedures. The variance of the test statistic is estimated by jackknife and p-values are computed using its asymptotic distribution. A college education performance data is analyzed. The data set is formed by students who entered in the University of Campinas, Brazil, between 1997 and 2000. Their academic performance has been recorded until graduation or drop-out. The classical ANOVA points to significant effects of gender, type of high school and working status. However, the residual analysis indicates a highly significant deviation from normality. The quasi U-statistics nonparametric tests proposed here present significant effect of interaction between type of high school and gender but did not present a significant effect of working status. The proposed nonparametric method also results in smaller error variances, illustrating its robustness against model misspecification.
Subject: Teoria assintótica - Teoria da estimativa
Medidas de diversidade
Estatística não paramétrica
Programas de ação afirmativa
Desempenho acadêmico
Country: Reino Unido
Editor: Taylor & Francis
Citation: Academic Performance Of Students From Entrance To Graduation Via Quasi U-statistics: A Study At A Brazilian Research University. Taylor & Francis Ltd, v. 43, p. 72-86 Jan-2016.
Rights: fechado
Identifier DOI: 10.1080/02664763.2015.1077939
Address: https://www.tandfonline.com/doi/abs/10.1080/02664763.2015.1077939
Date Issue: 2016
Appears in Collections:IMECC - Artigos e Outros Documentos

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