Evidence map›Paper›PMID 40875755›Full record

ArticlePloS one2025

A qualitative study of graduate student emotional and cognitive processing of unexpected (chance) events.

Hope Ferguson, Elisabeth E Schussler

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Hope FergusonDepartment of Ecology and Evolutionary Biology, The University of Tennessee, Knoxville, Tennessee, United States of America.ORCID 0009-0006-3504-6123
Elisabeth E SchusslerDepartment of Ecology and Evolutionary Biology, The University of Tennessee, Knoxville, Tennessee, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Research on graduate education often focuses on the expected challenges of graduate programs, such as proposal defenses, comprehensive exams, and mentoring relationships. However, less is known about how unexpected (chance) events may shape graduate student program experiences, including their impacts on career intentions. Prior research suggests that unexpected events introduce uncertainty and opportunities, however, the emotional and cognitive processes underlying these perceptions are unknown. This study explored how graduate students emotionally and cognitively processed a self-reported highly impactful chance event during their program. Specifically, this study asked 1) How did life science graduate students initially appraise and reappraise chance events? and 2) How did the narratives of chance event appraisals differ among participants who changed their career intentions versus those who did not? Using Appraisal Theory, we conducted thematic narrative analysis for the interviews with ten current life science graduate students. Five students had changed their career intentions since starting graduate school and five had not. These analyses revealed that themes of Initial Stressors, Initial Emotional Toll, and Growth were shared among participants, highlighting these as common processes related to unexpected events. However, the Help-Seeking, Self-Reliance, Realizations, and Resilience themes differed among those who had changed their career intentions or not. Those who had changed their career intentions often coped by using external support and prioritizing their mental well-being. Those who had not changed their career intentions coped via self-reliance, focusing on self-managing challenges and viewing chance events as opportunities to build new skill sets. This study demonstrated the utility of applying Appraisal Theory to graduate study, showcasing how appraisal and reappraisals of unexpected events may be related to career decision making. Implications include the need for effective coping strategies to navigate unexpected challenges and faculty and departmental support for career development.

Indexed as

CognitionEducation, GraduateEmotionsStudentsAdultCareer ChoiceFemaleHumansMaleQualitative ResearchYoung Adult

Identifiers

PMID40875755
PMCPMC12393738

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.