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Record W1960746152 · doi:10.1002/mpr.1486

Factor structure and psychometric properties of a French and German shortened version of the Behavioural Inhibition System/Behavioural Activation System scales

2015· article· en· W1960746152 on OpenAlexaff
Joseph Studer, Stéphanie Baggio, Meichun Mohler‐Kuo, Jean‐Bernard Daeppen, Gerhard Gmel

Bibliographic record

VenueInternational Journal of Methods in Psychiatric Research · 2015
Typearticle
Languageen
FieldPsychology
TopicAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Canadian institutionsCentre for Addiction and Mental Health
FundersChina Scholarship CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsGermanPsychologyPsychometricsBehavioral inhibitionBehavioral activationClinical psychologyDevelopmental psychologyPsychiatryCognitionGeography

Abstract

fetched live from OpenAlex

The Behavioural Inhibition System/Behavioural Activation System scales (BIS/BAS scales) constitute one of the most prominent questionnaires to assess individual differences in sensitivity to punishment and reward. However, some studies questioned its validity, especially that of the French and German translations. The aim of the present study was to re-evaluate the psychometric characteristics of the BIS/BAS scales in a large sample of French- and German-speaking young Swiss men (N = 5872). Results showed that factor structures previously found in the literature did not meet the standards of fit. Nine items had to be removed to achieve adequate fit statistics in confirmatory factor analysis, yielding a shortened version with four factors: one BIS factor comprising five items and three BAS factors, namely Reward Reactivity, Drive and Fun Seeking, each comprising two items. Convergent validity and group invariance analyses suggest that the shortened BIS/BAS scales constitute a valid and reliable instrument. Researchers interested in assessing individual differences in BIS and BAS reactivity in French- and German-speaking individuals should avoid using the BIS/BAS scales as originally specified. The shortened version may be a sound alternative at least in samples of young adults. Its shorter format may be particularly suited for surveys with constraints on questionnaire length.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.054
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
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 head0.183
GPT teacher head0.478
Teacher spread0.295 · 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

Citations6
Published2015
Admission routes1
Has abstractyes

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Same venueInternational Journal of Methods in Psychiatric ResearchSame topicAnxiety, Depression, Psychometrics, Treatment, Cognitive ProcessesFrench-language works237,207