Cross-cultural adaptation, validity, and reliability of the Persian Communicative Effectiveness Index for post-stroke aphasia: a preliminary study
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Bibliographic record
Abstract
Background The Communicative Effectiveness Index (CETI) is a brief assessment scale designed to measure changes in the functional communication ability of people with post-stroke aphasia.Aims This study aimed to translate the CETI to the Persian language and measure its cross-cultural adaptation, validity, and reliability in persons with aphasia (PWA).Methods and Procedures The CETI was translated and adapted to Persian according to Beaton and colleagues’ (2000) guidelines. A cross-sectional study was then conducted to examine the psychometric properties of the Persian CETI (P-CETI), which was completed by 35 caregivers of PWA. Internal consistency and test-retest reliability of the P-CETI were evaluated using Cronbach’s alpha and the intra-class correlation coefficient (ICC), respectively. Concurrent validity was examined by correlating the P-CETI with the Functional Communication Performance Questionnaire in Adults with Brain Injury (P-FUCT).Outcomes and Results There were no culturally challenging items in the original CETI version identified during the adaptation process, with Persian-speaking participants finding the P-CETI understandable. The mean total P-CETI score was 51.8 ± 25.4 (range: 15.0–92.5). Cronbach’s alpha coefficient was 0.97, and all corrected item-total and inter-item correlations were in the acceptable range. The P-CETI also showed excellent test-retest reliability, with ICC = 0.99. The P-CETI significantly correlated with the P-FUCT, indicating acceptable concurrent validity.Conclusions The P-CETI can be considered a valid and reliable tool for the assessment of functional communication in Persian-speaking people with aphasia in clinical and research settings.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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