Fatores Preditivos de Intenção de Evasão Discente em Cursos Técnicos e Tecnólogos

Authors

  • Douglas Filenga Institto Federal de São Paulo - Campus Suzano
  • Adriano Maniçoba Silva Instituto Federal de São Paulo - Campus Suzano
  • Nalbert Seiji Kikuti Moura Institto Federal de São Paulo - Campus Suzano

DOI:

https://doi.org/10.13058/raep.2024.v25n2.2441

Abstract

Student dropout is a multifaceted issue that requires attention to its predictive factors for mitigation. The review of available literature on the subject allowed the condensation of such aspects into academic, institutional, and personal factors within a variance model, tested through Structural Equation Modeling. A non-probabilistic sample composed of 214 individuals was used for this purpose. The results indicated that approximately 38% of the dropout intention could be explained by three constructs. Academic aspects: difficulty of subjects (0.392; p<0.001), Personal aspects: Institution preference (-0.211; p<0.05), and Financial situation (0.274; p<0.01). Limitations and contributions to further studies were highlighted in the final considerations.

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Published

2024-12-16

How to Cite

Filenga, D. ., Silva, A. M., & Moura, N. S. K. . (2024). Fatores Preditivos de Intenção de Evasão Discente em Cursos Técnicos e Tecnólogos. Administração: Ensino E Pesquisa, 25(2). https://doi.org/10.13058/raep.2024.v25n2.2441

Issue

Vol. 25 No. 2 (2024): RAEP - 2ª Edição

Section

Articles

License

Copyright (c) 2024 Douglas Filenga, Adriano Maniçoba Silva, Nalbert Seiji Kikuti Moura

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