Impulsivity in an Epidemiological Catchment Area Sample of the General Population: A Confirmatory Factor Analysis of the Barratt Impulsiveness Scale (Version 11a)
Bibliographic record
Abstract
Impulsivity is associated with aggression and major mental disorders. The Barratt Impulsiveness Scale (BIS) is arguably the most commonly administered self-report measure of impulsiveness. However, some confusion surrounding the versions of the BIS—in particular version 11a—can be seen in the extant literature, especially regarding differences in item content and factor structures. Furthermore, no study has validated the factor structure of the BIS-11a. Thus, our study aimed to support the BIS-11a's internal validity based on Barratt's (1994) original factor model. Data was collected through the southwest Montreal psychiatric epidemiological catchment area study (Caron, Fleury et al., 2012). Randomly selected participants completed the English ( n = 703) or French ( n = 1,450) BIS-11a. Confirmatory factor analyses showed that Barratt's factor structure fit both language versions almost identically well. However, results suggest that a higher order factor structure might be optimal. This marks the first study to explore the BIS-11a's psychometric properties with a large general population sample, using both English and French versions of the scale. This is also the first study to bring to light that certain versions of the BIS, and their respective properties, are being misreported. As such, we hope to clarify the distinctions between the various versions for future research.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".