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Record W2237912015 · doi:10.1177/0306624x15595228

An Evaluation of the Reliability, Construct Validity, and Factor Structure of the Static-2002R

2015· article· en· W2237912015 on OpenAlexafffund
Sandy Jung, Liam Ennis, Chantal A. Hermann, Anna Pham, Alberto Choy, Gabriela Corăbian, Tarah Hook

Bibliographic record

VenueInternational Journal of Offender Therapy and Comparative Criminology · 2015
Typearticle
Languageen
FieldPsychology
TopicPsychopathy, Forensic Psychiatry, Sexual Offending
Canadian institutionsUniversity of SaskatchewanAlberta Hospital EdmontonUniversity of AlbertaCarleton UniversityMacEwan University
FundersFaculty of Arts and SciencesMacEwan University
KeywordsConstruct validityConcurrent validityRecidivismPsychologyConstruct (python library)Reliability (semiconductor)Predictive validityClinical psychologyTest validityDevelopmental psychologyPsychometricsComputer science

Abstract

fetched live from OpenAlex

The fundamental psychometric properties of the subscales found in the Static-2002R, an actuarial measure of sexual recidivism risk, were evaluated in the current study. Namely, the reliability, concurrent and construct validity, and factor structure of the Static-2002R subscales were examined with a sample of 372 adult male sex offenders. In addition to using validated measures of sexual violence risk to examine concurrent validity, construct-related measures taken from extant risk measures and psychometric tests were correlated with three of the subscales to assess overall construct validity. Moderate support was found for the reliability of the Static-2002R. The concurrent and construct validity of the General Criminality, Persistence of Sexual Offending, and Deviant Sexual Interest subscales were supported. Generally, these findings further support the Static-2002R as a valid sex offender risk appraisal instrument that encompasses multiple distinct, clinically relevant, risk domains.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.469
GPT teacher head0.439
Teacher spread0.031 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2015
Admission routes2
Has abstractyes

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Same venueInternational Journal of Offender Therapy and Comparative CriminologySame topicPsychopathy, Forensic Psychiatry, Sexual OffendingFrench-language works237,207