Psychometric evaluation of the German version of the Life Attitude Profile–Revised (LAP-R) in prostate cancer patients
Bibliographic record
Abstract
OBJECTIVE: There has been an increasing interest in the measurement of patients efforts to find meaning during the experience of a life-threatening illness. The aim of this study was to validate the German version of the Life Attitude Profile-Revised (LAP-R), a multidimensional measure of meaning and purpose. METHODS: A total of 511 prostate cancer patients with an average age of 64 years filled in the questionnaire during outpatient follow up care (response rate 70%). RESULTS: Five of the original six dimensions were replicated by exploratory and confirmatory factor analysis: Coherence, Existential Vacuum, Choice/Responsibleness, Death Acceptance, and Goal Seeking. The Purpose dimension was not replicated. Most LAP-R subscales showed good internal consistencies with Cronbach's alpha between .80 and .82, whereas the reliability for Existential Vacuum (alpha=.69) and Goal Seeking (alpha=.74) was less sufficient, but still acceptable. Results show significant concurrent associations between all LAP-R dimensions and measures of emotional distress, coping, and health-related quality of life; however, moderate correlations were found only for Existential Vacuum and depression, and inversely for depressive coping and the mental health subscale. SIGNIFICANCE OF RESEARCH: The German LAP-R is a reliable and valid instrument that can be recommended for further use in research and clinical cancer care.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".