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

• Published in: Axioms Vol. 13; no. 1; p. 47
• Main Authors: Freitas Souza, Rafael de, Lima, Fabiano Guasti, Corrêa, Hamilton Luiz
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01-01-2024
• Subjects: Colleges & universities; Education, Higher; Electronic data processing; Generalized linear models; higher education institution; Higher education institutions; intra-class correlations; Logit models; Logits; Methods; ordinal logistic regression; Probability; proportional odds; random coefficient model; Regression analysis; repeated measures; Researchers; Technology application; Brazil
• ISSN: 2075-1680; 2075-1680
• DOI: 10.3390/axioms13010047

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.