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Record W4315701433 · doi:10.1177/10731911221143343

Structure of Pathological Personality Traits Through the Lens of the CAT-PD Model

2023· article· en· W4315701433 on OpenAlex
Whitney R. Ringwald, Leah T. Emery, Shereen Khoo, Lee Anna Clark, Yuliya Kotelnikova, Matthew D. Scalco, David Watson, Aidan G.C. Wright, Leonard J. Simms

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAssessment · 2023
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsConcordia University of Edmonton
FundersNational Center for Advancing Translational SciencesNational Institute of Mental HealthNational Institutes of HealthNational Institute on Alcohol Abuse and AlcoholismClinical and Translational Science Institute, University of PittsburghUniversity of New OrleansUniversity of Pittsburgh
KeywordsPsychologyTraitBig Five personality traitsPersonality pathologyPersonalityClinical psychologyConfirmatory factor analysisDevelopmental psychologyPersonality Assessment InventoryConstruct validityPsychometricsSocial psychologyPersonality disordersStructural equation modelingStatistics

Abstract

fetched live from OpenAlex

Personality pathology is increasingly conceptualized within hierarchical, dimensional trait models. The Comprehensive Assessment of Traits Relevant to Personality Disorders (CAT-PD) is a pathological-trait measure with potential to improve on currently prevailing instruments because it has wider content coverage; however, its domain-level structure, which is of scientific and clinical interest, is not established. In this study, we investigated the structure and construct validity of the CAT-PD’s domain level to facilitate wider use of the measure. We estimated five- and six-factor models with exploratory factor analysis in a pooled sample of eight independent subsamples ( N = 3,987) and found that both models fit the data well; each had interpretable factors that were invariant across gender, sample type, and Black/White racial groups; and the factors had good convergent validity with other measures of maladaptive traits, Big Five personality, and interpersonal problems. Our results support the validity of the CAT-PD for assessing multiple levels of the pathological trait hierarchy.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.075
GPT teacher head0.388
Teacher spread0.313 · 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