Project CEMAPRE internal
| Title | Statistical Modelling in Higher Education Research |
| Participants | Maria Eugénia Ferrão (Principal Investigator) |
| Summary | The project follows open research questions about students’ persistence and performance in Higher Education (HE) (Ferrão et al., 2020; Ferrão & Almeida, 2018, 2019). Specifically, the study explores topics such as equity in HE (Ferrão, Almeida, & Ferreira, 2020; Ferrão, Barros, Bof, & Oliveira, 2018; Travitzki, Ferrão, & Couto, 2016). As this includes the statistical analysis and modelling of data obtained through administrative records that configure the concept of big identifiable data (Shlomo & Goldstein, 2015), methodological aspects related to the treatment of large and complex data or aspects related to the treatment of data anonymization will also be considered, in line with work in progress (Prata et al., 2020; Santos et al., 2020). Microdata such as those collected by RAIDES in Portugal or by ENADE in Brazil are considered for modelling purposes. References Ferrão, M. E., & Almeida, L. S. (2018). Multilevel modelling of persistence in higher education. Ensaio: Aval.Pol.Públ.Educ., 26(100), 664–683. https://doi.org/10.1590/S0104-40362018002601610 Ferrão, M. E., & Almeida, L. S. (2019). Differential effect of university entrance score on first-year students’ academic performance in Portugal. Assessment & Evaluation in Higher Education, 44(4), 610–622. https://doi.org/10.1080/02602938.2018.1525602 Ferrão, M. E., Almeida, L. S., & Ferreira, J. A. (2020). Higher Education equity in Portugal: On the relationship between student performance and student financial aid. World Education Research Association (WERA) 2020 Focal Meeting, accepted. Ferrão, M. E., Barros, G., Bof, A. M., & Oliveira, A. S. (2018). Estudo longitudinal sobre eficácia educacional no Brasil: Comparação entre resultados contextualizados e valor acrescentado. Dados - Revista de Ciências Sociais, 61(4), 265–300. Prata, P., Ferrão, M. E., Santos, W., & Sousa, G. (2020). Garantia de privacidade versus utilidade dos dados em anonimização: Um estudo no ensino superior. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, Accepted. Santos, W., Sousa, G., Prata, P., & Ferrão, M. E. (2020). Data anonymization: K-anonymity sensitivity analysis. CISTI’2020 – 15th Iberian Conference on Information Systems and Technologies, 24-27 June. https://ieeexplore.ieee.org/document/9141044 Travitzki, R., Ferrão, M. E., & Couto, A. P. (2016). Atenuação das desigualdades educacionais e socioeconómicas na população brasileira pré-universitária: uma visão a partir da análise de dados do ENEM. Education Policy Analysis Archives, 24(74). |