The Effect of Response Bias on the Personality Inventory for DSM–5 (PID–5)
Bibliographic record
Abstract
Valid self-report assessment of psychopathology relies on accurate and credible responses to test questions. There are some individuals who, in certain assessment contexts, cannot or choose not to answer in a manner typically representative of their traits or symptoms. This is referred to, most broadly, as test response bias. In this investigation, we explore the effect of response bias on the Personality Inventory for DSM–5 (PID–5; Krueger, Derringer, Markon, Watson, & Skodol, 2013 Krueger, R. F., Derringer, J., Markon, K. E., Watson, D., & Skodol, A. E. (2013). The Personality Inventory for DSM–5 (PID–5)–Adult (Full version). Washington, DC: American Psychiatric Association. [Google Scholar]), a self-report instrument designed to assess the pathological personality traits used to inform diagnosis of the personality disorders in Section III of DSM–5. A set of Minnesota Multiphasic Personality Inventory Restructured Form (MMPI–2–RF; Ben-Porath & Tellegen, 2008 Tellegen, A., & Ben-Porath, Y. S (2008). MMPI–2–RF technical manual. Minneapolis: University of Minnesota Press. [Google Scholar]/2011 Ben-Porath, Y. S., & Tellegen, A. (2011). MMPI–2–RF manual for administration, scoring, and interpretation. Minneapolis: University of Minnesota Press. (Original work published 2008) [Google Scholar]) validity scales, which are used to assess and identify response bias, were employed to identify individuals who engaged in either noncredible overreporting (OR) or underreporting (UR), or who were deemed to be reporting or responding to the items in a “credible” manner—credible responding (CR). A total of 2,022 research participants (1,587 students, 435 psychiatric patients) completed the MMPI–2–RF and PID–5; following protocol screening, these participants were classified into OR, UR, or CR response groups based on MMPI–2–RF validity scale scores. Groups of students and patients in the OR group scored significantly higher on the PID–5 than those students and patients in the CR group, whereas those in the UR group scored significantly lower than those in the CR group. Although future research is needed to explore the effects of response bias on the PID–5, results from this investigation provide initial evidence suggesting that response bias influences scale elevations on this instrument.
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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 | 0.248 | 0.485 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".