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| Duke University Religion Index (DUREL)× | FACIT-Spiritual Well-Being Scale (FACIT-Sp)× | |
|---|---|---|
| Fagområde | Religionspsykologi | Religionspsykologi |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 2010 | 2002 |
| Ophavsperson≠ | Harold G. Koenig & Arndt Büssing | Amy H. Peterman, George Fitchett, Mark J. Brady, Lisette Hernandez, & David Cella |
| Type | Self-report | Self-report |
| Oprindelig kilde≠ | Koenig, H. G., & Büssing, A. (2010). The Duke University Religion Index (DUREL): A five-item measure for use in epidemical studies. Religions, 1(1), 78–85. DOI ↗ | Peterman, A. H., Fitchett, G., Brady, M. J., Hernandez, L., & Cella, D. (2002). Measuring spiritual well-being in people with cancer: The Functional Assessment of Chronic Illness Therapy–Spiritual Well-Being Scale. Annals of Behavioral Medicine, 24(1), 49–58. DOI ↗ |
| Aliasser≠ | DUREL | FACIT-Sp, FACIT-Spiritual |
| Relaterede | 4 | 4 |
| Resumé≠ | The DUREL is a brief, five-item self-report measure of religious involvement developed by Koenig and Büssing in 2010. Designed specifically for epidemiological and health services research, it captures three dimensions of religiosity: organizational religious activity (church attendance), non-organizational religious activity (private prayer and study), and intrinsic religiosity (religious motivation and meaning). The scale is widely used in gerontology, medical sociology, and health outcomes research to assess how religious engagement correlates with physical and mental well-being. | The FACIT-Sp, developed by Peterman and colleagues in 2002, is a 12-item self-report measure of spiritual well-being specifically designed for people with serious illness, particularly cancer. It assesses two dimensions: meaning and peace (the sense that life has purpose and harmony despite illness) and faith (spiritual or religious trust). Part of the Functional Assessment of Chronic Illness Therapy (FACIT) suite, the FACIT-Sp has become a standard measure in oncology research and palliative care, predicting quality of life, treatment outcomes, and psychological well-being in medical populations. |
| ScholarGateDatasæt ↗ |
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