Association between scientific initiation and success in postgraduate studies

Autores

Palavras-chave:

Postgraduate studies, Scientific initiation, Data science, Logistic regression, School dropout

Resumo

This study investigates the relationship between participation in Scientific Initiation (SI) and admission and success rates in graduate programs at the Federal University of Viçosa (UFV). The research was motivated by the need to understand the factors that influence access and academic continuity, especially in the Brazilian context, where graduate school dropout rates pose a challenge for both students and institutions. Using descriptive statistics and logistic regression techniques, data were obtained through the Federal University of Vic¸osa’s open data portal, and specific data were analyzed using R software. Variables such as age, gender, state of origin, and academic standing were examined, enabling the identification of patterns and trends in student trajectories. It was possible to draw an average profile of UFV students, both at the undergraduate and graduate levels, and to assess the relationship between scientific initiation and graduate studies. The results indicate that participation in scientific initiation has a positive association with admission to graduate studies. Students who participated in scientific initiation during their undergraduate years had a significantly higher rate of academic continuation compared to those who did not participate in this program. The results of this research underscore the importance of institutional policies that encourage scientific initiation, promoting greater academic engagement and contributing to a reduction in dropout rates in graduate programs. The study also contributes to the knowledge base on the relationship between scientific initiation and retention in graduate programs.

Biografia do Autor

Douglas Oliveira Gomes, Universidade Federal de Ouro Preto

Douglas O. Gomes is an undergraduate student of Statistics at the Federal University of Ouro Preto, where he conducted research in applied statistics. Mr. Gomes has experience in data analysis and applied statistics. His main research interests include data analysis, machine learning, and optimization.
 

Helgem de Souza Ribeiro Martins, Universidade Federal de Viçosa

Helgem de Souza Ribeiro Martins holds a Bachelor's degree in Statistics from the Federal University of Ouro Preto (2014), where he conducted research in applied statistics and computational simulation. He earned a Master's degree in Statistics from the Federal University of Minas Gerais (2016), with a focus on stochastic processes and queueing theory. He subsequently obtained a Ph.D. in Applied Statistics and Biometrics from the Federal University of Viçosa (2020), specializing in statistics, probability, and computational statistics. Professor Martins has extensive experience in data science, data visualization, and applied statistics. His primary research interests include data analysis, data visualization, and optimization. He has authored several research articles published in both national and international peer-reviewed journals and conference proceedings.

 

Josino José Barbosa, Universidade Federal de Ouro Preto

Josino José Barbosa holds a Bachelor's degree in Statistics from the Federal University of Ouro Preto (2014), where he conducted research in applied statistics and multivariate statistics. He earned a Master's degree in Applied Statistics and Biometrics from the Federal University of Viçosa (2017), with a focus on multivariate outlier detection. He subsequently obtained a Ph.D. in Applied Statistics and Biometrics from the Federal University of Viçosa (2020), specializing in statistics, probability, and computational statistics. Professor Barbosa has extensive experience in multivariate statistics, outlier detection, and applied statistics. His primary research interests include data analysis, applied probability, and optimization. He has authored several research articles published in both national and international peer-reviewed journals and conference proceedings.
 

Gabriel Lima de Souza, Universidade Federal de Ouro Preto

Gabriel Lima de Souza holds a bachelor's degree in Statistics from the Federal University of Ouro Preto (UFOP) (2014), a master's degree in Computer Science from UFOP (2020), and a PhD in Computer Science from UOP (2025). Professor Souza has experience in Probability and Statistics, with an emphasis on Applied Statistics and Optimization, working mainly on the following topics: Queuing theory, Optimization, Conflicting Objectives, and Heuristic Optimization. He is the author of research studies published in national and international journals and conference proceedings.

Anderson Ribeiro Duarte, Universidade Federal de Ouro Preto

Anderson Ribeiro Duarte holds a Bachelor's degree in Mathematics (2000), a Master's degree in Statistics (2005), and a Ph.D. in Statistics (2009), all from the Federal University of Minas Gerais (UFMG), Brazil. He is currently a Full Professor in the Department of Statistics at the Federal University of Ouro Preto (UFOP), Brazil. His research interests lie primarily in the areas of queueing theory, stochastic processes, and spatial statistics. Prof. Duarte has authored and co-authored several peer-reviewed articles published in national and international journals, as well as contributions to conference proceedings and book chapters.

Referências

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Publicado

26-12-2025

Como Citar

Oliveira Gomes, D., Martins, H. de S. R., José Barbosa, J., Lima de Souza, G., & Ribeiro Duarte, A. (2025). Association between scientific initiation and success in postgraduate studies. Sigmae, 14(5), 18–27. Recuperado de https://publicacoes.unifal-mg.edu.br/revistas/index.php/sigmae/article/view/2740

Edição

v. 14 n. 5 (2025): Edição temática: XII Workshop em Estatística Aplicada e Biometria da UFV

Seção

Estatística Aplicada

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