MétaCan
Menu
Back to cohort
Record W2801089389 · doi:10.1111/appy.12318

Validation of a short Korean version of the UPPS‐P Impulsive Behavior Scale

2018· article· en· W2801089389 on OpenAlexaboutno aff
Sun Young Lim, Seog Ju Kim

Bibliographic record

VenueAsia-Pacific Psychiatry · 2018
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
FundersSungkyunkwan University
KeywordsImpulsivityPsychologyClinical psychologyConfirmatory factor analysisBeck Depression InventoryAnxietyInternal consistencyEating Disorder InventoryScale (ratio)Construct validityPsychiatryEating disordersPsychometricsStructural equation modelingBulimia nervosa

Abstract

fetched live from OpenAlex

INTRODUCTION: The purpose of the present study was to validate a Korean version of the short UPPS-P Impulsive Behavior Scale (UPPS-P). METHODS: This study included 724 undergraduate students who completed the following questionnaires: the Korean UPPS-P, Beck Depression Inventory, State-Trait Anxiety Inventory, Eating Disorder Inventory-2, Alcohol Use Disorder Identification Test, and Canadian Problem Gambling Index. RESULTS: A confirmatory factor analysis supported a 5-factor interrelated model. The internal consistency coefficients for the 5 factors of the short Korean UPPS-P were acceptable (.65-.78 across the subscales), and the subscales of the short Korean UPPS-P were strongly correlated with the long UPPS-P subscales. External validity was demonstrated by associations between the subfactors of impulsivity and various psychopathologies, including depression, anxiety, binge eating, alcohol abuse, and gambling. DISCUSSION: The present results indicate that the short Korean version of the UPPS-P may be a useful and reliable alternative to the original long-form UPPS-P.

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 score0.043
Threshold uncertainty score0.912

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.289
Teacher spread0.278 · 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

Citations25
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueAsia-Pacific PsychiatrySame topicEating Disorders and BehaviorsFrench-language works237,207