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Record W2257382136 · doi:10.18316/2317-8582.15.5

Factor Analysis of French Translation of the Barratt Impulsiveness Scale (BIS-11)

2015· article· en· W2257382136 on OpenAlexaffabout
Marcos Alencar Abaíde Balbinotti, Sébastien Gélinas, Sue-Hélène Labonté

Bibliographic record

VenueSaúde e Desenvolvimento Humano · 2015
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsBarratt Impulsiveness ScaleImpulsivityConfirmatory factor analysisPsychologyConstruct validityPersonalityPopulationConstruct (python library)PsychometricsScale (ratio)Clinical psychologyDevelopmental psychologyStructural equation modelingSocial psychologyStatisticsComputer scienceMedicine

Abstract

fetched live from OpenAlex

The Barratt Impulsiveness Scale (BIS-11) is a 30 items self-report instrument designed to assess the personality/behavioral construct of impulsiveness. It is one of the most commonly used scale for the assessment of this construct in both research and clinical settings. Although its use is widely spread, there have been numerous question about the invariance of the factor structure across different populations. This study explored the factor structure of the french translation of the BIS-11 in a sample of 546 university students in a French Canadian university. The BIS-11 is held to measure 3 theoretical subtraits (attentional, motor and non-planning impulsiveness). We evaluated the factor structure of the BIS-11 using unweighted least square factor analysis and confirmatory factor analysis. We found no evidence supporting the 3 factor model. In fact, the present study found that the factor structure of the BIS-11 produces a 24 items 5 factor solution consisting of motor impulsiveness (5 items), cognitive complexity impulsiveness (3 items), nonplanning impulsiveness(6 items), financial management impulsiveness(3 items) and attentional impulsiveness(5 items). The utility of the BIS-11 as it is to assess impulsiveness in non-clinical population is questionable. The authors suggest future studies to investigate comparisons with this modified version of the BIS and other impulsivity or personality scales in non-clinical populations to evaluate criterion validity of this new model.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.116
GPT teacher head0.399
Teacher spread0.283 · 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

Citations10
Published2015
Admission routes2
Has abstractyes

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