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Self-Compassion in Chinese Young Adults: Its Measurement and Measurement Construct
OBJECTIVES: Self-compassion is the ability to be kind to oneself in adversity. This multidimensional construct is typically assessed by the Self-Compassion Scale (SCS). In Chinese samples, there have been inconsistent psychometric findings that impede cross-cultural research. This study aimed to exp...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10478333/ https://www.ncbi.nlm.nih.gov/pubmed/36482690 http://dx.doi.org/10.1177/10731911221137540 |
Sumario: | OBJECTIVES: Self-compassion is the ability to be kind to oneself in adversity. This multidimensional construct is typically assessed by the Self-Compassion Scale (SCS). In Chinese samples, there have been inconsistent psychometric findings that impede cross-cultural research. This study aimed to explore the factor structure of the Chinese version (SCS-C). METHODS: Two samples of young Chinese adults were recruited (Sample 1, N = 465, 141 men, Mean age [M(age)] = 20.26; Sample 2, N = 392, 71 men; M(age) = 18.97). Confirmatory factor analyses and exploratory structural equation modeling (ESEM) were used to examine previously reported four- and six-factor structures of SCS-C. RESULTS: Although ESEM supported the six-factor structure when a problematic item was omitted, we found stronger evidence for a novel four-factor structure of the SCS-C revealed with self-kindness, common humanity, mindfulness, and uncompassionate self-responding. This suggests that Chinese individuals have a different understanding of the negative components of the original self-compassion definition, which was based on the United States and other mostly Western samples. Omega coefficients of the bifactor models suggested that using the SCS total score in Chinese samples is inappropriate. However, high factor determinacy and construct replicability indicated that the general factor of SCS-C could be used in a structural equation modeling context for both four-factor and six-factor structures. CONCLUSIONS: When using the existing SCS-C in path models, researchers should use a latent variable approach and establish the measurement construct rather than sum scores of the scale or subscales without checking the factor structure in future empirical studies. Also, the SCS-C needs to be revised, and we proposed directions forward for future research. |
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