Spanish Version of the Death Attitude Profile-Revised. Translation and Validation Into Spanish
Bibliographic record
Abstract
The Death Attitude Profile-Revised (DAP-R) was developed in English-speaking cultures with the aim of measuring attitudes towards death. This measure consists of 32 items, grouped into five factors (Fear of Death, Avoidance of Death, Neutral Acceptance, Approach Acceptance, and Escape Acceptance). The DAP-R was translated and adapted to Spanish (DAP-RSp), and the psychometric properties were analyzed accross a general sample. The face validity was evaluated by 20 experts in palliative care. N = 417 (X = 39.06 years) took part in the validation. DAP-RSp showed adequate internal consistency (Cronbach’s alpha ranging from 0.67 for Neutral Acceptance to 0.95 for Escape a Acceptance, and 0.88 for the total), a multitrait scaling analysis and a confirmatory factor analysis reproduced the five dimensions of the original scale. The Spanish version of the DAP-R can be used as a valid scale to assess attitudes towards death in Spanish speaking population.
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 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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".