The evaluation of psychometric properties of the Ukrainian Versions of PCL-5, PHQ-9 and GAD-7 scales
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Bibliographic record
Abstract
The aim of the study was to optimize the psychodiagnostic management algorithm for stress-related disorders and associated sleep disturbances by assessing the psychometric properties of the Ukrainian versions of PCL-5, PHQ-9, and GAD-7 scales. The study data included Ukrainian-language: demographic data, Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder Questionnaire-7 (GAD-7), PTSD Symptom Checklist for DSM-5 (PCL-5), Pittsburgh Sleep Quality Questionnaire (PSQQ), Toronto Alexithymia Scale (TAS-26), and Quality of Life Scale edited by Prof. Chaban (CQLS). Statistical analysis includes descriptive statistics and Pearson correlation methods, assessment of internal consistency and validity of the PCL-5, PHQ-9, and GAD-7 scales, by using SPSS Statistics 23.0. The study population (N=111) included female (76.5%) and male (23.5%) with PTSD symptoms and sleep disturbances. According to the results of the statistical analysis of the internal consistency of the scales, the Cronbach's alpha index is for PHQ-9 (0.842); GAD-7 (0.881); PCL-5 for all 20 items is: (0.954); as well as for individual subscales of symptom clusters: intrusiveness (0.891); avoidance ( .779); negative reaction ( .893); hyperreactivity ( .852). Direct strong positive, statistically significant correlation between the total score indicators for PHQ-9, GAD-7 and PCL-5 (with subscale indicators, respectively) at the level of p>0.001 ( .000), which indicates a high level of convergent validity. The results showed a high diagnostic value of using these scales in the process of diagnosing stress-related disorders with concomitant sleep disturbances.
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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 | 0.003 | 0.006 |
| 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 | 0.001 |
| 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