Grooved Pegboard adds incremental value over memory-apparent performance validity tests in predicting psychiatric symptom report
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Bibliographic record
Abstract
The present study evaluated whether Grooved Pegboard (GPB), when used as a performance validity test (PVT), can incrementally predict psychiatric symptom report elevations beyond memory-apparent PVTs. Participants (N = 111) were military personnel and were predominantly White (84%), male (76%), with a mean age of 43 (SD = 12) and having on average 16 years of education (SD = 2). Individuals with disorders potentially compromising motor dexterity were excluded. Participants were administered GPB, three memory-apparent PVTs (Medical Symptom Validity Test, Non-Verbal Medical Symptom Validity Test, Reliable Digit Span), and a symptom validity test (Personality Assessment Inventory Negative Impression Management [NIM]). Results from the three memory-apparent PVTs were entered into a model for predicting NIM, where failure of two or more PVTs was categorized as evidence of non-credible responding. Hierarchical regression revealed that non-dominant hand GPB T-score incrementally predicted NIM beyond memory-apparent PVTs (F(2,108) = 16.30, p < .001; R2 change = .05, β = −0.24, p < .01). In a second hierarchical regression, GPB performance was dichotomized into pass or fail, using T-score cutoffs (≤29 for either hand, ≤31 for both). Non-dominant hand GPB again predicted NIM beyond memory-apparent PVTs (F(2,108) = 18.75, p <.001; R2 change = .08, β = −0.28, p < .001). Results indicated that noncredible/failing GPB performance adds incremental value over memory-apparent PVTs in predicting psychiatric symptom report.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it