Structure factorielle d’une version française du Nursing Home Behavior Problem Scale
Bibliographic record
Abstract
Several measuring devices are available to assess specific behavioural problems of dementia patients residing in nursing homes but only a few have been translated and validated in French. This study's main objective was to determine the factorial structure of the French version of the Nursing Home Behavior Problem Scale (NHBPS) with people suffering from dementia. A secondary objective was to document the variables associated with the global score of the NHBPS and the underlying dimensions of the instrument. Participants (n = 155) were diagnosed with dementia and resided in three nursing homes and a hospital's long-term care unit. The presence of behavioural problems and other characteristics were assessed by two nurses. A factor analysis revealed five key dimensions in the francophone version of the questionnaire. Several variables were associated with the total score of the NHBPS and its five underlying dimensions. Although the factorial solution of the French version of the NHBPS is similar to the English versions, our results also show differences that may depend on methodological characteristics.
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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 | 0.011 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".