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Academic performance of students from entrance to graduation via quasi U-statistics: a study at a Brazilian research university

Maia, Rafael Pimentel ; Pinheiro, Hildete Prisco ; Pinheiro, Aluísio

Journal of applied statistics, 2016-01, Vol.43 (1), p.72-86 [Periódico revisado por pares]

Abingdon: Taylor & Francis

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  • Título:
    Academic performance of students from entrance to graduation via quasi U-statistics: a study at a Brazilian research university
  • Autor: Maia, Rafael Pimentel ; Pinheiro, Hildete Prisco ; Pinheiro, Aluísio
  • Assuntos: Academic achievement ; Analysis of variance ; Asymptotic properties ; asymptotic theory ; Brazil ; College students ; Deviation ; diversity measures ; Educational evaluation ; Gender ; interaction effect ; jackknife ; nonparametric methods ; Normality ; Robustness ; Secondary schools ; Statistical methods ; Statistics ; Students ; Studies ; Universities ; Variance analysis
  • É parte de: Journal of applied statistics, 2016-01, Vol.43 (1), p.72-86
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
    content type line 23
  • Descrição: 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.
  • Editor: Abingdon: Taylor & Francis
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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