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Record W3044801132 · doi:10.1177/1073191120922621

Construct Validity of the Comprehensive Assessment of Psychopathic Personality (CAPP): Examining the Internal Structure and Generalizability of CAPP Self-Ratings Across Gender and Ethnicity

2020· article· en· W3044801132 on OpenAlexaff
Katherine B. Hanniball, Richard E. Hohn, Erin K. Fuller, Kevin S. Douglas

Bibliographic record

VenueAssessment · 2020
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsGeneralizability theoryPsychologyPsychopathyConstruct validityIncremental validityConvergent validityConstruct (python library)PersonalityConfirmatory factor analysisStructural equation modelingPsychometricsDevelopmental psychologyClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

The Comprehensive Assessment of Psychopathic Personality (CAPP) is a recently developed conceptual model of psychopathy designed to index the disorder across 33 personality traits. Although recent research has evidenced support for the CAPP model with respect to the convergent, criterion, and predictive validity of CAPP instruments, little work has examined the optimal internal structure and generalizability of the model and associated measures. The present study sought to elaborate on the construct validity and psychometric properties of the CAPP Lexical Self Rating Scale and determine the utility of the instrument across men and women, and individuals of Caucasian and East Asian descent. Within a large sample of self-identified offenders ( N = 1,414), we found strong support for a three-factor model comprising domains reflecting interpersonal dominance, behavioral disinhibition, and deficient emotional attachment. Analyses examining the generalizability of the model provide further insight into its applicability for diverse populations.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.100
GPT teacher head0.393
Teacher spread0.293 · 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.

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

Citations6
Published2020
Admission routes1
Has abstractyes

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