The Stroop test as a measure of performance validity in adults clinically referred for neuropsychological assessment.
Bibliographic record
Abstract
= 14.1) clinically referred for neuropsychological assessment were analyzed. Criterion measures included the Warrington Recognition Memory Test-Words and 2 composites based on several independent validity indicators. An age-corrected scaled score ≤6 on any of the 4 trials reliably differentiated psychometrically defined credible and noncredible response sets with high specificity (.87-.94) and variable sensitivity (.34-.71). An inverted Stroop effect was less sensitive (.14-.29), but comparably specific (.85-90) to invalid performance. Aggregating the newly developed D-KEFS Stroop validity indicators further improved classification accuracy. Failing the validity cutoffs was unrelated to self-reported depression or anxiety. However, it was associated with elevated somatic symptom report. In addition to processing speed and executive function, the D-KEFS version of the Stroop task can function as a measure of performance validity. A multivariate approach to performance validity assessment is generally superior to univariate models. (PsycINFO Database Record
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 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 | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".