Validity and reliability study of the Turkish version of the Empathy Quotient- 8 in Turkish university students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Empathy is an important psychological construct that plays a significant role in social interactions, mental health, and well-being. Despite the significance of empathy in psychological research and mental health, there is a lack of validated and concise measures available in Turkish. OBJECTIVE: This study aims to evaluate the psychometric properties of the eight-item Empathy Quotient (EQ- 8) in Turkish university students, assessing its reliability, convergent validity, and factor structure. Therefore, we seek to determine its suitability for use in psychological and mental health research within Turkish-speaking populations. METHODS: We collected the data from two groups. The data of the first group (N = 198) was used to test the factor structure of the EQ- 8 by randomly splitting the data into two halves. The first half was used for the exploratory factor analysis (EFA), and the second half was used for confirmatory factor analysis (CFA), while the second group (N = 47) was carried out to test the reliability of EQ- 8. RESULTS: The results of the EFA and CFA yielded a one-factor solution for the EQ- 8. The internal consistency reliability was found to be good in both subsamples. Test-retest reliability was established as.86. As to the convergent validity, the scores on EQ- 8 were significantly positively related to the scores of the Toronto Empathy Questionnaire. CONCLUSIONS: These results provide support for the Turkish version of the EQ- 8 as a psychometrically sound instrument for measuring empathy. These results contribute to cross-cultural research and the evaluation of interventions targeting empathy.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it