Alireza Azizi - Department of Clinical Psychology, University of Social Welfare & Rehabilitation Sciences, Tehran, Iran.
Parvaneh Mohammadkhani - uswr
Ali akbar Foroughi - Shahid Beheshti University of Medical Sciences and Health Services
Samira Lotfi - University of Tehran
Mahmood Bahramkhani - USWR

Objective: The Self-Compassion Scale (SCS) which originally developed by Neff (۲۰۰۳a) is based on the assumption that the self-compassion comprised by self-kindness/self-judgment, common humanity/perceived isolation, and mindfulness/over-identification. This research was aimed to confirm the six-factor structure of SCS. Methods: ۲۶۵ university students entered the research to assess the psychometric properties of SCS. The participants were asked to complete SCS, Rosenberg Self-Esteem Scale, Beck Depression Inventory, Speilberger State-Trait Anxiety Inventory, Ruminative Response Scale and demographic questionnaires. Using Amos-۲۱ and SPSS-۲۱, descriptive statistics, Cronbach’s alpha, Pearson correlation and Confirmatory Factor Analysis (CFA) were calculated. Results: The Cronbach’s alpha coefficients for total SCS items, self-kindness, self-judgment, common humanity, perceived isolation, mindfulness and over-identification subscale were ۰.۷۸, ۰.۷۹, ۰.۷۹, ۰.۹۳, ۰.۹۰, ۰.۸۸ and ۰.۸۸ respectively. Results of CFA supported the sixfactor structure SCS [RMSEA=۰.۰۸ (۰.۰۷۸-۰.۰۹۲), NFI=۰.۸۶ and CFI=۰.۹۰]. The SCS showed a significant positive correlation with RSS (r=۰.۲۶۱, P<۰.۰۵) and a significant negative correlation with RRS (r=-۰.۳۶۳, P<۰.۰۵), BDI–II (r=-۰.۱۷۷, P<۰.۰۵) and STAI (r=-۰.۳۶۱, P<۰.۰۵). Conclusion: The six-factor structure of SCS demonstrated acceptable psychometric properties in Tehran universities students.

Validity, Reliability, Confirmatory factor analysis, Self-compassion scale (SDS)