An Examination of the Psychometric Properties of the Chinese Version of the Barratt Impulsiveness Scale, 11th Version in a Sample of Chinese Adolescents
Bibliographic record
Abstract
The current study examined the psychometric properties of the Chinese translation of the Barratt Impulsiveness Scale 11th version in a sample of adolescents from Hunan province, mainland China. During an initial assessment, 396 secondary school students (Grades 10-12) completed the scale and self-report measures assessing problem behaviors and alcohol use. The scale was re-administered 1 mo. later. Analysis gave Cronbach alpha of .80 and test-retest reliability of .70. Confirmatory factor analysis indicated a model containing six first-order factors and two second-order factors best fit the data. Girls reported higher Total scores than boys as well as higher scores on the motor impulsiveness, self-control, and cognitive instability sub-scales. Scores were associated in the predicted direction with a wide variety of self-reported problem behaviors including alcohol use, gambling, and academic misconduct. Current findings indicate that the translated scale is a promising tool with some further development for assessing impulsiveness with Chinese adolescents.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".