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

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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Bibliographic Details
Main Authors: Samantha M Stevens, Peter M Ruberton, Joshua M Smyth, Geoffrey L Cohen, Valerie Purdie Greenaway, Jonathan E Cook
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://doi.org/10.1371/journal.pone.0280325

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https://doi.org/10.1371/journal.pone.0280325

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