Response bias and the Personality Inventory for DSM–5: Contrasting self- and informant-report.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Previous research has raised concerns that scores derived from the Personality Inventory for DSM-5 (PID-5; American Psychiatric Association, 2013; Krueger, Derringer, Markon, Watson, & Skodol, 2012) may be compromised by response styles such as underreporting or overreporting. The informant-report form of the PID-5 (PID-5-IRF; Markon, Quilty, Bagby, & Krueger, 2013) has been recommended for use when response bias is an assessment concern. The purpose of the current investigation was to evaluate PID-5 and PID-5-IRF scale score elevations across participants exhibiting signs of overreporting or underreporting. A total of 245 adults completed the PID-5 and the Revised NEO Personality Inventory (NEO PI-R; Costa & McCrae, 1992). A family member or friend of at least 1 year's acquaintance completed the PID-5-IRF for 216 of these. A total of 211 target-informant pairs were available for analysis. Participants were categorized as overreporting and underreporting according to NEO PI-R validity scale cutoffs. The majority of PID-5 scale scores were elevated in those identified as overreporting; more than half of the PID-5-IRF scale scores were similarly elevated. The majority of PID-5 scale scores were lower in those scoring above underreporting cut-offs; however, PID-5-IRF scales were not as consistently or strongly impacted. PID-5 scales were strongly impacted by response bias, whereas PID-5-IRF scores were less strongly impacted overall, and more so by overreporting bias. Caution when using these instruments in the assessment of personality disorders prone to over- or underreporting may be warranted. (PsycINFO Database Record
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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 | 0.012 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.004 |
| 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 it