Examining the cross-cultural validity of the test of memory malingering and the Rey 15-item test
Bibliographic record
Abstract
OBJECTIVE: This study was designed to investigate the cross-cultural validity of two freestanding performance validity tests (PVTs), the Test of Memory Malingering - Trial 1 (TOMM-1) and the Rey Fifteen Item Test (Rey-15) in Romanian-speaking patients. METHODS: The TOMM-1 and Rey-15 free recall (FR) and the combination score incorporating the recognition trial (COMB) were administered to a mixed clinical sample of 61 adults referred for cognitive evaluation, 24 of whom had external incentives to appear impaired. Average scores on PVTs were compared between the two groups. Classification accuracies were computed using one PVT against another. RESULTS: = 1.00-1.19). TOMM-1 was a significant predictor of the Rey-15 COMB ≤20 (AUC = .80; .38 sensitivity; .89 specificity at a cutoff of ≤39). Similarly, both Rey-15 indicators were significant predictors of TOMM-1 at ≤39 as the criterion (AUCs = .73-.76; .33 sensitivity; .89-.90 specificity). CONCLUSION: Results offer a proof of concept for the cross-cultural validity of the TOMM-1 and Rey-15 in a Romanian clinical sample.
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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 | 0.007 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".