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Record W2972728607 · doi:10.28945/4113

The PhD Experience: A Review of the Factors Influencing Doctoral Students’ Completion, Achievement, and Well-Being

2018· review· en· W2972728607 on OpenAlexaff
Anna Sverdlik, Nathan C. Hall, Lynn McAlpine, Kyle Hubbard

Bibliographic record

VenueInternational journal of doctoral studies · 2018
Typereview
Languageen
FieldHealth Professions
TopicDoctoral Education Challenges and Solutions
Canadian institutionsMcGill University
Fundersnot available
KeywordsPsychologySocializationAttritionMental healthIdentity (music)Medical educationPedagogySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Aim/Purpose: Research on students in higher education contexts to date has focused primarily on the experiences undergraduates, largely overlooking topics relevant to doctoral students’ mental, physiological, motivational, and social experiences. Existing research on doctoral students has consistently found mental and physical health concerns and high attrition rates among these students, but a comprehensive understanding of these students’ experiences is still lacking. Background: The present review paper aims to offer deep insight into the issues affecting doctoral students by reviewing and critically analyzing recent literature on the doctoral experience. An extensive review of recent literature uncovered factors that can be readily categorized as external and internal to the doctoral student; external factors include supervision, personal/social lives, the department and socialization, and financial support opportunities, while internal factors motivation, writing skills, self-regulatory strategies, and academic identity. Methodology: 163 empirical articles on the topic of doctoral education are reviewed and analyzed in the present paper. Contribution: The present paper represents a comprehensive review of the factors found to influence the experiences (e.g., success, satisfaction, well-being) of doctoral students in their programs. It represents a unique contribution to the field of doctoral education as it attempt to bring together all the factors found to date to shape the lived experiences of doctoral students, as well as evidence-based ways to facilitate students’ success and well-being through these factors. More specifically, the present paper aims to inform students, faculty, and practitioners (e.g., student support staff) of the optimal practices and structures uncovered to date, as most beneficial to doctoral students in terms of both academic success and well-being. Impact on Society: Decreases to doctoral students’ well-being as they progress in their programs, financial struggles, and the notable difficulty in maintaining a social life/family responsibilities have been widely discussed in popular culture. The present paper aims to highlight these, and other, issues affecting the doctoral experience in an attempt to contribute to the conversation with comprehensive empirical evidence. By facilitating discussions on the issues that play a role in the attribution and dissatisfaction of existing doctoral students, and perhaps deter potential doctoral students from ever entering doctoral education system, we hope to contribute to a student-cantered focus in which departments are concerned with the academic success of doctoral students, but also equally concerned with maximizing students’ well-being in the process of attaining a doctoral degree. This, we hope, will enhance the societal perception of doctoral education as a challenging, yet worthwhile and rewarding process. Future Research: Future research in which the confluence of the factors discussed in this review, particularly with respect to the cross-cutting impact of socialization variables, is recommended to provide a sufficiently in-depth examination of the salient predictors of doctoral student development and persistence. Future research efforts that steer away from single-factor foci to explore interactive or redundant relationships between factors are thus recommended, as are analyses of the potential effects that changes to one aspect of the doctoral experience (e.g., motivational interventions) can have on other factors. Finally, studies employing various alternative methodologies and analytical methods (e.g., observational, questionnaire, experimental, experience sampling) are similarly expected to yield valuable knowledge as to the nature and extent of the afore-mentioned and novel contributing factors, as well as the utility of student intervention programs aimed at improving both the personal and professional lives of doctoral students internationally

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Incentives · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.401
GPT teacher head0.599
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainIncentives
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations576
Published2018
Admission routes1
Has abstractyes

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