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Record W4394576688 · doi:10.1080/13674676.2023.2264199

Validity and reliability of the Arabic version of the Toronto Empathy Questionnaire (TEQ) among Saudi medical students: a cross-sectional study

2024· article· en· W4394576688 on OpenAlexaboutno aff
Abeer AL Lihabi

Bibliographic record

VenueMental Health Religion & Culture · 2024
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsArabicEmpathyReliability (semiconductor)Cross-sectional studyPsychologyValidityClinical psychologyMedical educationApplied psychologyMedicinePsychometricsSocial psychology

Abstract

fetched live from OpenAlex

The studys objective was to assess the validity and reliability of the Arabic version of the Toronto Empathy Questionnaire (TEQ) in medical university students in Saudi Arabia. This research employed a cross-sectional design. The TEQ was translated into Arabic by two bilingual translators using forward and back translation methods. A pilot study was performed, and the final survey data was analyzed using SPSS. The study included 211 participants, primarily female (80.6%), with five different age groups, of which 21–22 year-olds comprised 34.6%. The Arabic version of the TEQ was found to be valid (p < .005) except for item 11 (p = .427). The Cronbach coefficient was .677. There were no significant differences between the TEQ scores and the sociodemographic characters. Medical students in our study exhibited an average degree of empathy. Further multicenter research is recommended to generalize the findings.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.378
Teacher spread0.362 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2024
Admission routes1
Has abstractyes

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