| Title |
An Investigation of the Factor Structure of the Self-Compassion Scale
|
|---|---|
| Published in |
Mindfulness, September 2017
|
| DOI | 10.1007/s12671-017-0803-1 |
| Pubmed ID | |
| Authors |
Seonaid Cleare, Andrew Gumley, Chris J. Cleare, Rory C. O’Connor |
| Abstract |
The Self-Compassion Scale (SCS) is the most widely used measure of self-compassion. The scale is constructed of six factors measuring positive and negative components of compassion. Support for this factor structure has been subject to debate and alternative factor structures have been proposed. We tested the proposed factor structures against existing models of the SCS including one derived from an exploratory factor analysis of our data. Respondents (n = 526) completed the original version of the SCS online at two time points, at baseline (time 1) and 2.5 months later (n = 332, time 2). Exploratory factor analysis (EFA) was carried out on time 1 data and confirmatory factor analyses (CFA) were conducted on time 2 data and retested using time 1 data. The EFA yielded a five-factor model. CFA was used to compare the following models: Neff's original six-factor correlated and higher-order models; a single-factor, two-factor, five-factor model (as suggested by the EFA) and a bi-factorial model. The bi-factorial model was the best fit to the data followed by the six-factor correlated model. Omega indices were calculated and yielded support for the bi-factorial model of SCS. In conclusion, this study supports the use of the six-factor scoring method of the SCS and the use of an overarching self-compassion score. |
X Demographics
The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 17 | 65% |
| Australia | 3 | 12% |
| Unknown | 6 | 23% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 12 | 46% |
| Members of the public | 10 | 38% |
| Practitioners (doctors, other healthcare professionals) | 4 | 15% |
Mendeley readers
The data shown below were compiled from readership statistics for 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 130 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 15% |
| Student > Master | 15 | 12% |
| Student > Doctoral Student | 11 | 8% |
| Student > Bachelor | 10 | 8% |
| Researcher | 7 | 5% |
| Other | 21 | 16% |
| Unknown | 47 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 53 | 41% |
| Social Sciences | 6 | 5% |
| Medicine and Dentistry | 5 | 4% |
| Nursing and Health Professions | 5 | 4% |
| Unspecified | 4 | 3% |
| Other | 8 | 6% |
| Unknown | 49 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 May 2018.
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#2,223,456
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Outputs from Mindfulness
#253
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Outputs of similar age
#42,508
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Outputs of similar age from Mindfulness
#13
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