Development and Psychometric Evaluation of the Reasons for Living--Older Adults Scale: A Suicide Risk Assessment Inventory
Bibliographic record
Abstract
PURPOSE: The purposes of these studies were to develop and initially evaluate the psychometric properties of the Reasons for Living Scale-Older Adult version (RFL-OA), an older adults version of a measure designed to assess reasons for living among individuals at risk for suicide. DESIGN AND METHODS: Two studies are reported. Study 1 involved instrument development with 106 community-dwelling older adults, and initial psychometric evaluation with a second sample of 119 community-dwelling older adults. Study 2 evaluated the psychometric properties of the RFL-OA in a clinical sample. One hundred eighty-one mental health patients 50 years or older completed the RFL-OA and measures of depression, suicide ideation at the current time and at the worst point in one's life, and current mental status and physical functioning. RESULTS: Strong psychometric properties were demonstrated for the RFL-OA, with high internal consistency (Cronbach's alpha coefficient). Convergent validity was evidenced by negative associations among RFL-OA scores and measures of depression and suicide ideation. RFL-OA scores predicted current and worst-episode suicide ideation above and beyond current depression. Discriminant validity was evidenced with measures of current mental status and physical functioning. Criterion-related validity was also demonstrated with respect to lifetime history of suicidal behavior. IMPLICATIONS: These findings provide preliminary support for the validity and reliability of the RFL-OA. The findings also support the potential value of attending to reasons for living during clinical treatment with depressed older adults and others at risk for suicide.
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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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".