Sensitivity of the Test of Memory Malingering and the Nonverbal Medical Symptom Validity Test: A Replication Study
Bibliographic record
Abstract
The current investigation sought to replicate and extend the findings of Green ( in press ), which demonstrated superior sensitivity of the Nonverbal Medical Symptom Validity Test (NV-MSVT) relative to the Test of Memory Malingering (TOMM) in the detection of suboptimal effort during neuropsychological assessment. Nearly twice as many examinees failed the NV-MSVT than the TOMM. Profile analyses of the NV-MSVT demonstrated patterns suggestive of inconsistent effort in those who failed the NV-MSVT but passed the TOMM. A classification analysis employing the Word Memory Test and Medical Symptom Validity Test as external criteria for poor effort showed that the NV-MSVT is substantially more sensitive to poor effort than the TOMM and maintains an acceptable false-positive rate. Overall, results closely matched those of the Green ( in press ) study and extend the evidence that the NV-MSVT possesses better sensitivity to poor effort than the TOMM.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 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".