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Record W3037923616 · doi:10.1080/26408066.2020.1781728

Attitudes, Self-Efficacy, and Feasibility: Exploring Social Work Students’ Perceptions of Evidence-Based Practice

2020· article· en· W3037923616 on OpenAlexaff
Nancy Lin

Bibliographic record

VenueJournal of Evidence-Based Social Work · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Work Education and Practice
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsThematic analysisPsychologySelf-efficacyDehumanizationSocial workQualitative researchMedical educationIdentity (music)Organizational culturePerceptionEvidence-based practiceResource (disambiguation)PedagogySocial psychologySociologyPublic relationsMedicinePolitical scienceSocial science

Abstract

fetched live from OpenAlex

PURPOSE: The literature on evidence-based practice (EBP) in social work indicates a complex relationship between practitioners' attitudes, views on feasibility, and self-efficacy related to EBP implementation. METHOD: Qualitative interviews and a self-report questionnaire were completed with 8 social work students. A conceptual framework of their perceptions was developed through thematic analysis. RESULTS: Participants reported mixed EBP attitudes, as both a practice "ideal", but also oppressive, rigid, and dehumanizing. Low confidence regarding research skills affected participants' self-efficacy. Resource constraints impacted feasibility through organizational culture and available practice-relevant research. DISCUSSION: EBP misconceptions critically impacted educational practices, organizational culture, and practitioners' attitudes. Comprehensive education mindful of professional identity may address misconceptions and enhance self-efficacy. EBP-enabling organizational change and practice-relevant research may alleviate resource constraints. CONCLUSION: Research should expand on how EBP attitudes and social work identity intersect, the impact of research skills on self-efficacy, and EBP barriers and facilitators in education and organizations.

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)0.008
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.005
Science and technology studies0.0040.001
Scholarly communication0.0010.003
Open science0.0010.000
Research integrity0.0000.001
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 head0.428
GPT teacher head0.476
Teacher spread0.048 · 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

Citations9
Published2020
Admission routes1
Has abstractyes

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