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Record W2403447612 · doi:10.1037/pas0000328

The comparative capacity of the Minnesota Multiphasic Personality Inventory–2 (MMPI–2) and MMPI–2 Restructured Form (MMPI-2-RF) validity scales to detect suspected malingering in a disability claimant sample.

2016· article· en· W2403447612 on OpenAlexaff
Michael S. Chmielewski, Jiani Zhu, Danielle Burchett, Alison Bury, R. Michael Bagby

Bibliographic record

VenuePsychological Assessment · 2016
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsMinnesota Multiphasic Personality InventoryMalingeringPsychologyClinical psychologyPersonality testPersonalityPsychopathologyPsychometricsTest validityPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

The current study expands on past research examining the comparative capacity of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2; Butcher et al., 2001) and MMPI-2 Restructured Form (MMPI-2-RF; Ben-Porath & Tellegen, 2008/2011) overreporting validity scales to detect suspected malingering, as assessed by the Miller Forensic Assessment of Symptoms Test (M-FAST; Miller, 2001), in a sample of public insurance disability claimants (N = 742) who were considered to have potential incentives to malinger. Results provide support for the capacity of both the MMPI-2 and the MMPI-2-RF overreporting validity scales to predict suspected malingering of psychopathology. The MMPI-2-RF overreporting validity scales proved to be modestly better predictors of suspected psychopathology malingering-compared with the MMPI-2 overreporting scales-in dimensional predictive models and categorical classification accuracy analyses. (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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.247
GPT teacher head0.445
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2016
Admission routes1
Has abstractyes

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