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Record W2123773833 · doi:10.1177/0886260510365857

Factor Structure and Reliability of the Revised Conflict Tactics Scales’ (CTS2) 10-Factor Model in a Community-Based Female Sample

2010· article· en· W2123773833 on OpenAlexaff
Sung Hyun Yun

Bibliographic record

VenueJournal of Interpersonal Violence · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Windsor
FundersVedecká Grantová Agentúra MŠVVaŠ SR a SAV
KeywordsSexual coercionConfirmatory factor analysisPsychologySample (material)Reliability (semiconductor)Internal consistencyClinical psychologyCoercion (linguistics)Poison controlPsychometricsSocial psychologyInjury preventionDevelopmental psychologyStructural equation modelingStatisticsMedicinePower (physics)Medical emergencyMathematics

Abstract

fetched live from OpenAlex

The present study investigated the factor structure and reliability of the revised Conflict Tactics Scales' (CTS2) 10-factor model in a community-based female sample (N = 261). The underlying factor structure of the 10-factor model was tested by the confirmatory multiple group factor analysis, which demonstrated complex factor cross-loadings across the subscales for both perpetration and victimization. This confirmatory factor analysis also identified a lack of exclusive factor loadings between minor and severe distinctions of the eight violence measures. Internal consistency of the subscales was generally acceptable (.68-.85 for perpetration and .68-.84 for victimization), except for the Sexual Coercion subscale; the alpha coefficients of the Sexual Coercion Minor subscale were .18 for perpetration and .37 for victimization. Practical implications related to complex factor cross-loadings and internal consistency were discussed.

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)0.002
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 score0.109
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.034
GPT teacher head0.334
Teacher spread0.300 · 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

Citations44
Published2010
Admission routes1
Has abstractyes

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