- Title
- Examining the factor structure of the self-compassion scale in 20 diverse samples: support for use of a total score and six subscale scores
- Creator
- Neff, Kristin D.; Tóth-Király, István; Kotsou, Ilios; Lee, Woo Kyeong; Montero-Marin, Jesus; Sirois, Fushia M.; de Souza, Lucina K.; Svendsen, Julie L.; Wilkinson, Ross B.; Mantzios, Michail; Yarnell, Lisa M.; Arimitsu, Kohki; Castilho, Paula; Ghorbani, Nima; Guo, Hailan Xiaoxia; Hirsch, Jameson K.; Hupfeld, Jorg; Hutz, Claudio S.
- Relation
- Psychological Assessment Vol. 31, Issue 1, p. 27-45
- Publisher Link
- http://dx.doi.org/10.1037/pas0000629
- Publisher
- American Psychological Association (APA)
- Resource Type
- journal article
- Date
- 2019
- Description
- This study examined the factor structure of the Self-Compassion Scale (SCS) using secondary data drawn from 20 samples (N = 11,685) - 7 English and 13 non-English - including 10 community, 6 student, 1 mixed community/student, 1 meditator, and 2 clinical samples. Self-compassion is theorized to represent a system with 6 constituent components: self-kindness, common humanity, mindfulness and reduced self-judgment, isolation and overidentification. There has been controversy as to whether a total score on the SCS or if separate scores representing compassionate versus uncompassionate self-responding should be used. The current study examined the factor structure of the SCS using confirmatory factor analyses (CFA) and Exploratory Structural Equation Modeling (ESEM) to examine 5 distinct models: 1-factor, 2-factor correlated, 6-factor correlated, single-bifactor (1 general self-compassion factor and 6 group factors), and 2-bifactor models (2 correlated general factors each with 3 group factors representing compassionate or uncompassionate self-responding). Results indicated that a 1- and 2-factor solution to the SCS had inadequate fit in every sample examined using both CFA and ESEM, whereas fit was excellent using ESEM for the 6-factor correlated, single-bifactor and correlated 2-bifactor models. However, factor loadings for the correlated 2-bifactor models indicated that 2 separate factors were not well specified. A general factor explained 95% of the reliable item variance in the single-bifactor model. Results support use of the SCS to examine 6 subscale scores (representing the constituent components of self-compassion) or a total score (representing overall self-compassion), but not separate scores representing compassionate and uncompassionate self-responding.
- Subject
- self-compassion scale; self-compassion factor structure; bifactor analyses; exploratory structural equation modelling (ESEM)
- Identifier
- http://hdl.handle.net/1959.13/1472351
- Identifier
- uon:48808
- Identifier
- ISSN:1040-3590
- Language
- eng
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