Multilevel Ordinal Logit Models: A Proportional Odds Application Using Data from Brazilian Higher Education Institutions

被引：1

作者：

Souza, Rafael de Freitas ^{[1
]}

Lima, Fabiano Guasti ^{[1
]}

Correa, Hamilton Luiz ^{[2
]}

机构：

[1] Univ Sao Paulo, Sch Econ Business & Accounting Ribeirao Preto, Accounting Dept, BR-14040905 Sao Paulo, Brazil

[2] Univ Sao Paulo, Sch Econ Business & Accounting, Business & Management Dept, BR-05508010 Sao Paulo, Brazil

来源：

AXIOMS | 2024年 / 13卷 / 01期

关键词：

ordinal logistic regression; proportional odds; random coefficient model; repeated measures; intra-class correlations; higher education institution; 6201; LOGISTIC-REGRESSION;

D O I：

10.3390/axioms13010047

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This tutorial delves into the application of proportional odds-type ordinal logistic regression to assess the impact of incorporating both fixed and random effects when predicting the rankings of Brazilian universities in a well-established international academic assessment utilizing authentic data. In addition to offering valuable insights into the estimation of ordinal logistic models, this study underscores the significance of integrating random effects into the analysis and addresses the potential pitfalls associated with the inappropriate treatment of phenomena exhibiting categorical ordinal characteristics. Furthermore, we have made the R language code and dataset available as supplementary resources for the replication.

引用

页数：32

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