Virtuous victims: Disability claimants who over- and under-report
Bibliographic record
Abstract
Objective: The present study was the first to investigate the test performance and symptom reports of individuals who engage in both over-reporting (i.e., exaggerating or fabricating symptoms) and under-reporting (i.e., exaggerating positive qualities or denying shortcomings) in the context of a forensic evaluation. We focused on comparing individuals who over- and under-reported (OR + UR) with those who only over-reported (OR-only) on the MMPI-3. Method: Using a disability claimant sample referred for comprehensive psychological evaluations (n = 848), the present study first determined the rates of possible over-reporting (MMPI-3 F ≥ 75 T, Fp ≥ 70 T, Fs ≥ 100 T, or FBS or RBS ≥ 90 T) with (n = 42) and without (n = 332) under-reporting (L ≥ 65 T). Next, we examined group mean differences on MMPI-3 substantive scale scores and scores on several additional measures completed by the disability claimant sample during their evaluation. Results: The small group of individuals identified as both over-reporting and under-reporting (OR + UR) scored meaningfully higher than the OR-only group on several over- and under-reporting symptom validity tests, as well as on measures of emotional and cognitive/somatic complaints, but lower on externalizing measures. The OR + UR group also performed significantly worse than the OR-only group on several performance validity tests and measures of cognitive ability. Conclusions: The present study indicated that disability claimants who engage in simultaneous over- and under-reporting portray themselves as having greater levels of dysfunction but fewer externalizing tendencies relative to claimants who only over-report; however, these portrayals are likely less accurate reflections of their true functioning.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| 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 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".