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Record W2762747567 · doi:10.1002/acp.3369

Factor Structure, Internal Consistency and Criterion Validity of the Full‐form and Short‐form Versions of the Centrality of Events Scale in Young People

2017· article· en· W2762747567 on OpenAlexafffund
Santiago Galán, Elena Castarlenas, Mélanie Racine, Elisabet Sánchez‐Rodríguez, Catarina Tomé‐Pires, Mark P. Jensen, Jordi Miró

Bibliographic record

VenueApplied Cognitive Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicPosttraumatic Stress Disorder Research
Canadian institutionsSt Joseph's Health CareLawson Health Research InstituteWestern University
FundersEuropean Regional Development FundUniversitat Rovira i VirgiliWestern University“la Caixa” Foundation
KeywordsCentralityPsychologyCronbach's alphaConfirmatory factor analysisConstruct validityInternal consistencyConvergent validityEvent (particle physics)Scale (ratio)Construct (python library)Sample (material)Consistency (knowledge bases)Criterion validityPsychometricsStructural equation modelingDevelopmental psychologySocial psychologyClinical psychologyStatisticsArtificial intelligenceComputer science

Abstract

fetched live from OpenAlex

Summary The perceived centrality of a traumatic event has been hypothesized to impact subsequent responses to that event and shown to be positively associated to a number of psychological problems. In order to understand the role of this construct in adjustment to stress and trauma, reliable and valid measures are needed. The objective of this study was to evaluate the factor structure, internal consistency and convergent validity of the full‐form and short‐forms of the Centrality of Event Scale when used with young people. A sample of 262 undergraduate students completed this study. Confirmatory factor analyses, Cronbach alpha coefficients and Pearson correlation coefficients were performed. The findings support a one‐factor structure of the full 20‐item and the short 7‐item versions. We also found that both versions provide reliable and valid scores when used with young people. We recommend the use of the 7‐item version to minimize assessment burden. Copyright © 2017 John Wiley & Sons, Ltd.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.432

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.076
GPT teacher head0.399
Teacher spread0.323 · 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

Citations14
Published2017
Admission routes2
Has abstractyes

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