The Generalizability of Overreporting Across Self-Report Measures: An Investigation With the Minnesota Multiphasic Personality Inventory–2–Restructured Form and the Personality Assessment Inventory in a Civil Disability Sample
Bibliographic record
Abstract
Elevated overreporting Validity Scale scores on the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) are associated with higher scores on collateral measures; however, measures used in prior research lacked validity scales. We sought to extend these findings by examining associations between elevated MMPI-2-RF overreporting scale scores and Personality Assessment Inventory (PAI) scale scores among 654 non-head injury civil disability claimants. Individuals were classified as overreporting psychopathology (OR-P), overreporting somatic/cognitive complaints (OR-SC), inconclusive reporting psychopathology (IR-P), inconclusive reporting somatic/cognitive complaints (IR-SC), or valid reporting (VR). Both overreporting groups had significantly and meaningfully higher scores than the VR group on the MMPI-2-RF and PAI scales. Both IR groups had significantly and meaningfully higher scores than the VR group, as well as lower scores than their overreporting counterparts. Our findings demonstrate the utility of inventories with validity scales in assessment batteries that include instruments without measures of protocol validity.
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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 | 0.014 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".