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Record W2033039670 · doi:10.1525/jer.2007.2.3.61

Perceptions of Stress among Students Participating in Psychology Research: A Canadian Survey

2007· article· en· W2033039670 on OpenAlexaffabout
David C. Flagel, Lisa A. Best, Aren C. Hunter

Bibliographic record

VenueJournal of Empirical Research on Human Research Ethics · 2007
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsPsychologyConfidentialityPerceptionStress (linguistics)Medical educationResearch ethicsClinical psychologyApplied psychologyClass (philosophy)Social psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

IT HAS BEEN SHOWN THAT PROPERLY conducted interviews in sensitive clinical contexts are negligibly stressful. The present study sought to extend these results and determine the perception of stress by research participants in nonclinical settings. Students enrolled in first year psychology courses typically have the option to receive class credit for research participation in studies assumed to pose minimal risk to participants. The perceptions of 101 student volunteers were examined to determine if they felt that research participation was stressful and, if so, what components of the process caused their stress. Participants completed a short survey indicating the reasons they served as research participants and the degree to which participation was stressful. They indicated that research participation was a valuable learning experience and the majority felt no stress associated with participation. Stress was reported by some due to concerns about confidentiality and evaluation by others of their personal performance. In addition, the majority of students reported having no knowledge of the ethical review process that preceded their participation. It is suggested that students should be informed of the ethical review process.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Observationalmedium
gptMetaresearch
Domain: Methods · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: yes
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.996
Threshold uncertainty score0.508

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0050.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.879
GPT teacher head0.757
Teacher spread0.122 · 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

Labeled directly by 2 models reading the full record.

Study designObservational
DomainMethods
GenreEmpirical

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

Citations10
Published2007
Admission routes2
Has abstractyes

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