Validation of the Two-Factor Collaborative Structure of the Chinese Adult Self-Compassion Scale and Its Clinical Implications

1,638) completing the SCS-CA and Parental Burnout Assessment were analyzed using exploratory structural equation modeling (ESEM; testing eight competing models), bifactor indexes (assessing total score utility), exploratory graph analysis (EGA; mapping the network structure), and external validity tests. ESEM supported both six- and two-factor models, but the two-factor model (compassionate self-responding vs. uncompassionate self-responding) fit best. Bifactor indexes ruled out the use of a single total score. EGA confirmed a synergistic two-dimensional structure, identifying self-judgment as the central node and common humanity as the key bridge. The uncompassionate self-responding dimension also emerged as a significantly stronger predictor of parental burnout. The results establish a culturally specific, two-dimensional model of self-compassion for China, revealing distinct dynamics between its components and providing a foundation for tailored interventions and future research

Personality test · Psychometrics · Reliability (semiconductor) · Scale (ratio) · Test validity · Validation test · Healthcare professionals’ stress and burnout · Mindfulness and Compassion Interventions · Psychological Well-being and Life Satisfaction

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