Factor structure and factorial invariance of the PTSD checklist for DSM-5 in public safety personnel: Results from a large and diverse sample.
Bibliographic record
Abstract
OBJECTIVE: = 5,855) and diverse PSP sample. METHOD: = 98) were conducted using six competing factor models of the PCL-5 across seven PSP sectors, five age groups, and two gender groups. RESULTS: The seven-factor hybrid model of PTSD (i.e., reexperiencing, avoidance, negative alterations in cognitions and mood, hyperarousal, intrusion, emotional numbing, dysphoria, dysphoric arousal, anxious arousal, anhedonia, negative affect) produced consistently superior fit across all sectors assessed and produced marginally better absolute values than the six-factor anhedonia model, supporting PCL-5 factorial invariance among PSP. CONCLUSIONS: The current study is the first to use a large and diverse PSP sample to assess PCL-5 factorial invariance. The results support the PCL-5 as invariant across PSP sectors, age groups, and men and women. Consistent with other studies, the seven-factor hybrid model of PTSD produced the best fit, followed closely by the six-factor anhedonia model. Future research could use structured clinical interviews to further investigate the factorial structure and invariance of PTSD symptoms among PSPs. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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 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 | 0.005 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".