方法对比
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| 信仰体系量表 (SBI)× | 每日灵性体验量表 (DSES)× | |
|---|---|---|
| 领域 | 宗教心理学 | 宗教心理学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2011 | 2002 |
| 提出者≠ | James M. Holland, Jill M. Currier, & Robert A. Neimeyer | Lynn G. Underwood & Jeanne A. Teresi |
| 类型 | Self-report | Self-report |
| 开创性文献≠ | Holland, J. M., Currier, J. M., & Neimeyer, R. A. (2011). The Systems of Belief Inventory: Factor structure and association with psychosocial outcome in bereavement. Psychological Assessment, 23(2), 311–321. link ↗ | Underwood, L. G., & Teresi, J. A. (2002). The Daily Spiritual Experience Scale: Development, theoretical description, reliability, exploratory factor analysis, and preliminary construct validity using health-related data. Annals of Behavioral Medicine, 24(1), 22–33. DOI ↗ |
| 别名≠ | SBI, SBI-15 | DSES |
| 相关 | 4 | 4 |
| 摘要≠ | The Systems of Belief Inventory (SBI), developed by Holland, Currier, and Neimeyer in 2011, is a 15-item self-report measure designed to assess the coherence, flexibility, and adaptive function of an individual's worldview and meaning-making system. Originally validated in bereavement research, the SBI captures dimensions of spiritual and existential belief that predict psychological adjustment following loss or trauma. It measures three key aspects: existential meaning-making, negative religious coping, and hope. The scale is useful in grief counseling, trauma recovery, and any clinical context where worldview disruption occurs. | The DSES, developed by Underwood and Teresi in 2002, is a 16-item self-report measure designed to capture the frequency and depth of spiritual experiences that occur in everyday life. Unlike scales that measure religious affiliation or institutional participation, the DSES assesses whether and how often individuals report direct, lived spiritual experience—moments of connection to something transcendent, sacred, or divine. It has become widely used in health services research, chaplaincy, and gerontological studies to quantify spiritual well-being and predict psychological and health outcomes. |
| ScholarGate数据集 ↗ |
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