方法对比
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| 自我关怀量表短版 (SCS-SF)× | 五因素正念问卷 (FFMQ)× | |
|---|---|---|
| 领域 | 正念心理学 | 正念心理学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 2011 | 2006 |
| 提出者≠ | Filip Raes, Kristin D. Neff, and colleagues at Leuven University | Ruth A. Baer, Greg T. Smith, and colleagues |
| 类型 | Self-report | Self-report |
| 开创性文献≠ | Raes, F., Pommier, E., Neff, K. D., & Van Gucht, D. (2011). Construction and factorial validation of a short form of the Self-Compassion Scale. Mindfulness, 2(4), 207-216. DOI ↗ | Baer, R. A., Smith, G. T., Hopkins, J., Krietemeyer, J., & Toney, L. (2006). Using self-report assessment methods to explore facets of mindfulness. Assessment, 13(1), 27-45. DOI ↗ |
| 别名 | SCS-SF, SCS-12 | FFMQ, FFMQ-39 |
| 相关≠ | 5 | 4 |
| 摘要≠ | The Self-Compassion Scale Short Form (SCS-SF) is a 12-item self-report instrument measuring self-compassion, a construct closely related to mindfulness emphasizing how individuals respond to personal suffering and failure with kindness and understanding. Developed by Raes, Neff, and colleagues in 2011 and published in Mindfulness, the SCS-SF is a brief version of the original 26-item Self-Compassion Scale. The scale measures self-compassion through six dimensions: Self-Kindness, Self-Judgment, Common Humanity, Isolation, Mindfulness, and Over-Identification. The SCS-SF has become a standard measure in psychological research on self-compassion, emotion regulation, mental health, and the mechanisms underlying mindfulness-based interventions. | The Five Facet Mindfulness Questionnaire (FFMQ) is a 39-item self-report instrument designed to measure trait mindfulness across five distinct dimensions: Observing, Describing, Acting with Awareness, Non-judging of Inner Experience, and Non-reactivity to Inner Experience. Developed by Baer and colleagues in 2006 and published in Assessment, the FFMQ has become one of the most widely used multidimensional mindfulness measures in research and clinical practice, applicable to both meditation practitioners and general populations. |
| ScholarGate数据集 ↗ |
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