Psychometric validation of a subjective well-being measure for people with spinal cord injuries
Bibliographic record
Abstract
PURPOSE: The researchers examined the factorial validity and the concurrent validity of the Sense of Well-Being Inventory (SWBI) based on a sample of Canadians with spinal cord injuries (SCI) in the community. METHOD: One hundred thirty-two participants were recruited from the Alberta, Saskatchewan, Nova Scotia, and Manitoba chapters of the Canadian Paraplegic Association. Mean age of participants was 45.82 years (SD=15.67), and 77% were men. The participants were asked to complete a research packet containing a demographic questionnaire, the SWBI, and the brief version of the World Health Organization Quality of Life questionnaire (WHOQOL-BREF). RESULTS: Factor analysis yield four factors (Psychological Well-Being, Financial Well-Being, Social and Family Well-Being, and Physical Well-Being) similar to the original SWBI. In addition, the SWBI factors in the present study correlated moderately well with the corresponding factors in the WHOQOL-BREF and with demographic variables appropriate to the respective subscale. CONCLUSIONS: The factorial validity and the concurrent validity of the SWBI were generally supported. The SWBI, as a subjective well-being measure developed specifically to relate to disability and rehabilitation, appears useful for use with people with SCI in the community.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".