Family quality of life among families with a member who has an intellectual disability: an exploratory examination of key domains and dimensions of the revised FQOL Survey
Bibliographic record
Abstract
BACKGROUND: The Family Quality of Life Survey (FQOLS-2006) was developed as the result of increased interest in family quality of life (FQOL) among families with a member who has an intellectual disability (ID). The instrument includes nine life domains and six dimensions reflecting the main areas and characteristics of FQOL. The aim of the current study was to provide a descriptive analysis of the domains and dimensions of the survey and to explore their relationship to one another and to global satisfaction. METHOD: A convenience sample of 35 participants with a family member who had ID completed the FQOLS-2006 in a large urban centre in Canada. The data were analysed using descriptive analyses. RESULTS: The findings showed that although participants differentiated between different domains and dimensions, as reflected in their variability, stability was also found. For example, support from others was rated lowest across most dimensions, while family relationships and health of the family were generally rated higher. CONCLUSIONS: The findings strengthen the importance of examining both the overall perception of FQOL as well as the perceptions in individual life domains. Moreover, they highlight the need to examine each life domain according to its various dimensions. In sum, the results call for further examination of the FQOLS-2006 as a useful tool for assessing FQOL and for implementing services based on it.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".