Estudio de adaptación y validación transcultural de una escala de satisfacción con la vida para adolescentes
Bibliographic record
Abstract
BACKGROUND: In recent years, there has been an increasing interest in the determinants of subjecti ve well-being and happiness. In that context, life satisfaction is one of the measures used to assess subjective well-being, with emphasis in adult population. OBJECTIVE: Adapt and validate (cultu rally and linguistically) the Canadian "Satisfaction with Life adapted for Children" (SWLS-C) in Chilean adolescents, in order to assess their global judgement about their own lives. PATIENTS AND METHODS: Cross-sectional study, with adolescents between 10 to 18 years old, of both sexes and three socioeconomic levels in the Metropolitan region of Chile. After a process of translation and back translation, the scale SWLS-C was applied in 3 groups: cognitive interviews (n = 23) to evaluate se mantics, content, reliability and construct validity, a second group was used as pretest (n = 24) and a third for the validation of the test (n = 200). Factor analysis was performed and measurement of convergent and divergent validity. RESULTS: The internal consistency of the scale through Cronbach's alpha was 0.815, with item-total correlations between 0.51 and 0.7. The correlation between scale items varies between 0.390 and 0.607. In the main component analysis, all items met the require ment of a factor greater than 0.3. The inverse correlation between SWLS-C and CDI was significant, with a linear R2 of 0.465. CONCLUSIONS: The Chilean version of the SWLS-C shows adequate psycho metric properties, construct validity, confirming its unidimensional character and the need to keep each item of the Canadian version. SWLS-C, in its Chilean version, is suitable to be self-applied in adolescent population. Further studies are needed to provide further evidence.
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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 | 0.019 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".