Psychometric Properties of the Autonomy over Tobacco Scale in German
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND/AIMS: We investigated the psychometric properties of a German translation of the 12-item Autonomy over Tobacco Scale (AUTOS) among 1,195 eighth-grade students. METHODS: Data for this study were collected as part of the fourth wave of data collection of the Smokefree Class Competition intervention in the Saxony-Anhalt region of Germany. Students from the control arm of the Smokefree Class Competition study who indicated that they had ever smoked 'at least a few puffs' on a cigarette were classified as ever-smokers. They self-completed questionnaires distributed by teachers. RESULTS: AUTOS scores ranged from 0 to 36 with a distribution highly skewed toward lower-response categories. Inter-item correlations ranged from 0.65 to 0.89 (mean = 0.79, SD = 0.06). Composite reliability for the AUTOS was high (Ω = 0.96) and 3 lower-order factors were also reliable (withdrawal: 0.89, psychological dependence: 0.91, cue-induced cravings: 0.87). Concurrent validity was supported by strong relationships between the AUTOS and both lifetime cigarette consumption and current smoking frequency. Youths were 18 times more likely to be current smokers (95% CI = 11.9-27.2, p < 0.001) if they endorsed any AUTOS item. CONCLUSION: The German AUTOS is reliable and valid, and the results are consistent with the English AUTOS for use with adolescents.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it