A latent class analysis approach to the identification of doctoral students at risk of attrition

To advance understanding of doctoral student experiences and the high attrition rates among Science, Technology, Engineering, and Mathematics (STEM) doctoral students, we developed and examined the psychological profiles of different types of doctoral students. We used latent class analysis on self-...

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Detalles Bibliográficos
Autores principales: Stevens, Samantha M., Ruberton, Peter M., Smyth, Joshua M., Cohen, Geoffrey L., Purdie Greenaway, Valerie, Cook, Jonathan E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838860/
https://www.ncbi.nlm.nih.gov/pubmed/36638114
http://dx.doi.org/10.1371/journal.pone.0280325

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9838860/
https://www.ncbi.nlm.nih.gov/pubmed/36638114
http://dx.doi.org/10.1371/journal.pone.0280325

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