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Record W7071971816

Vicarious traumatization and quality of life among supervisees : testing moderation and mediation

2021· article· en· W7071971816 on OpenAlexaboutno aff

Bibliographic record

VenueScholars Archive - University at Albany (University at Albany, State University of New York) · 2021
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsnot available
Fundersnot available
KeywordsMindfulnessModerationMediationMental healthEmpathyQuality of life (healthcare)Moderated mediationDistressPath analysis (statistics)Well-being
DOInot available

Abstract

fetched live from OpenAlex

This study sought to replicate and extend existing research (i.e., DelTosta et al., 2019) on predictors of vicarious traumatization among mental health counseling trainees and tested empirically the effects on trainees’ quality of life. The current investigation examined relations among personal distress empathy (PDE), the supervisory working alliance (SWA), mindfulness, vicarious traumatization (VT), and quality of life (QoL) in a sample of 294 mental health counseling trainees in the United States and Canada. Multivariate path analysis was used to test serial mediation of PDE and QoL through the SWA and VT. Additionally, this study examined the extent to which (a) mindfulness moderated and (b) the SWA mediated the relation between PDE and VT. Mindfulness did not moderate the relation between PDE and VT; however, it significantly and negatively predicted VT and significantly and positively predicted the physical and psychological domains of QoL. The SWA partially mediated the relation between PDE and VT, and the SWA and VT mediated the relation between PDE and all four QoL domains. These results indicated the adverse effects of VT on trainee QoL. Furthermore, the SWA and particularly mindfulness seemed to protect against VT, while mindfulness positively affected aspects of QoL. Strengths and limitations of the present study in addition to implications for theory, practice, and research are discussed.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.053
GPT teacher head0.248
Teacher spread0.195 · 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 teacher head, not a consensus.

Study designObservational
Domainnot available
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

Citations0
Published2021
Admission routes1
Has abstractyes

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Same venueScholars Archive - University at Albany (University at Albany, State University of New York)Same topicCounseling Practices and SupervisionFrench-language works237,207