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-...
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 |
Similar Items
-
Doctor Workforce Attrition: Doctor Workplace Attrition: An examination of pathways from work demands to organisational commitment
by: Michael Ireland, et al.
Published: (2022-10-01) -
Obstacles to success – doctoral student attrition in South Africa
by: Chaya Herman
Published: (2011-08-01) -
Obstacles to success – doctoral student attrition in South Africa
by: Chaya Herman
Published: (2011-08-01) -
Academic Suicide: Scenarios of Doctoral Student Attrition in Russia
by: Saule Bekova
Published: (2020-06-01) -
Building a taxonomy of mental processes supporting social functioning to accelerate the integration between psychology and neuroscience: A commentary on Dang et al.
by: Valerie Purdie-Greenaway, et al.
Published: (2022-07-01)