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Determinants of Ph.D. progression: student’s abilities and lab local environment

Yoshioka-kobayashi, Tohru and Shibayama, Sotaro LU (2022) In Higher Education 84(4).
Abstract
Ph.D. training is an important mechanism for developing scientists who will serve our knowledge-based society. Because the quality of students who join Ph.D. programs significantly impacts the outcome of Ph.D. training, students’ career choices at this initial stage—whether to proceed to Ph.D. or not—are of crucial interest. This study investigates how students’ attributes and the local lab environment influence their career choices using a unique empirical design in the Japanese graduate education context. The results show that students with high scientific abilities are more likely to proceed to Ph.D., and that students are more likely to proceed to Ph.D. if the lab has a favorable local environment for research and for training.... (More)
Ph.D. training is an important mechanism for developing scientists who will serve our knowledge-based society. Because the quality of students who join Ph.D. programs significantly impacts the outcome of Ph.D. training, students’ career choices at this initial stage—whether to proceed to Ph.D. or not—are of crucial interest. This study investigates how students’ attributes and the local lab environment influence their career choices using a unique empirical design in the Japanese graduate education context. The results show that students with high scientific abilities are more likely to proceed to Ph.D., and that students are more likely to proceed to Ph.D. if the lab has a favorable local environment for research and for training. Importantly, the findings suggest that students’ abilities and local environments interactively shape their career choices. In particular, high-ability students are drawn to local environments with high training capacities, whereas low-ability students are attracted to local environments with high research capacities. (Less)
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author
and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Ph.D. training, Doctoral education, Academic career, Mentoring style, Ph.D. progression
in
Higher Education
volume
84
issue
4
publisher
Springer
external identifiers
  • scopus:85139198007
ISSN
1573-174X
DOI
10.1007/s10734-022-00925-6
language
English
LU publication?
yes
id
b08e9a72-48f4-4ca6-b271-d916371ed5d6
date added to LUP
2022-09-30 08:58:09
date last changed
2024-01-17 09:26:29
@article{b08e9a72-48f4-4ca6-b271-d916371ed5d6,
  abstract     = {{Ph.D. training is an important mechanism for developing scientists who will serve our knowledge-based society. Because the quality of students who join Ph.D. programs significantly impacts the outcome of Ph.D. training, students’ career choices at this initial stage—whether to proceed to Ph.D. or not—are of crucial interest. This study investigates how students’ attributes and the local lab environment influence their career choices using a unique empirical design in the Japanese graduate education context. The results show that students with high scientific abilities are more likely to proceed to Ph.D., and that students are more likely to proceed to Ph.D. if the lab has a favorable local environment for research and for training. Importantly, the findings suggest that students’ abilities and local environments interactively shape their career choices. In particular, high-ability students are drawn to local environments with high training capacities, whereas low-ability students are attracted to local environments with high research capacities.}},
  author       = {{Yoshioka-kobayashi, Tohru and Shibayama, Sotaro}},
  issn         = {{1573-174X}},
  keywords     = {{Ph.D. training; Doctoral education; Academic career; Mentoring style; Ph.D. progression}},
  language     = {{eng}},
  month        = {{09}},
  number       = {{4}},
  publisher    = {{Springer}},
  series       = {{Higher Education}},
  title        = {{Determinants of Ph.D. progression: student’s abilities and lab local environment}},
  url          = {{http://dx.doi.org/10.1007/s10734-022-00925-6}},
  doi          = {{10.1007/s10734-022-00925-6}},
  volume       = {{84}},
  year         = {{2022}},
}