Assessment of PTSD in Older Veterans: The Posttraumatic Stress Disorder Checklist: Military Version (PCL-M)
Bibliographic record
Abstract
The Posttraumatic Stress Disorder (PTSD) Checklist: Military Version (PCL-M) is a 17-item, self-report measure of PTSD symptomatology in military veterans and provides one total score and four subscale scores for older veterans’ PTSD (re-experiencing, avoiding, numbing, and hyperarousal symptoms). Study subjects are 456 male veterans over 55-years old with deployed experiences selected from a larger survey data by Veterans’ Affairs Canada (VAC). This study found that overall scale reliability was excellent with alpha of .93 and subscale alphas ranging from .81 to .90. Confirmatory Factor Analysis (CFA) confirmed the best fit of four first-order factor models. Criterion validity was confirmed through significant associations of the PCL-M scores with well-established measures of depression, substance abuse, and general health indices. The PCL-M is recommended as a reliable and valid tool for the clinical and empirical assessment of screening PTSD symptomatology, specifically related to older veterans military experiences.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".