Structural validation of the Self-Compassion Scale with a German general population sample

被引:58
作者
Coroiu, Adina [1 ]
Kwakkenbos, Linda [2 ,3 ,4 ]
Moran, Chelsea [1 ]
Thombs, Brett [2 ,3 ]
Albani, Cornelia [5 ]
Bourkas, Sophia [1 ]
Zenger, Markus [5 ,6 ,7 ]
Brahler, Elmar [8 ]
Koerner, Annett [1 ,3 ]
机构
[1] McGill Univ, Dept Educ & Counselling Psychol, Montreal, PQ, Canada
[2] McGill Univ, Dept Psychiat, Montreal, PQ, Canada
[3] Jewish Gen Hosp, Lady Davis Inst Med Res, Montreal, PQ, Canada
[4] Radboud Univ Nijmegen, Behav Sci Inst, Clin Psychol, Nijmegen, Netherlands
[5] Univ Leipzig, Med Ctr, Dept Med Psychol & Med Sociol, Leipzig, Germany
[6] Univ Appl Sci Magdeburg Stendal, Fac Appl Human Studies, Stendal, Germany
[7] Univ Leipzig, Med Ctr, Integrated Res & Treatment Ctr IFB Adipos Dis Beh, Leipzig, Germany
[8] Univ Med Ctr Mainz, Dept Psychosomat Med & Psychotherapy, Mainz, Germany
来源
PLOS ONE | 2018年 / 13卷 / 02期
关键词
FIT INDEXES; QUESTIONNAIRE; MINDFULNESS; HEALTH; PHQ-9; RELIABILITY; CRITICISM; VALIDITY; CRITERIA; VERSION;
D O I
10.1371/journal.pone.0190771
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background Published validation studies have reported different factor structures for the Self-Compassion Scale (SCS). The objective of this study was to assess the factor structure of the SCS in a large general population sample representative of the German population. Methods A German population sample completed the SCS and other self-report measures. Confirmatory factor analysis (CFA) in MPlus was used to test six models previously found in factor analytic studies (unifactorial model, two-factor model, three-factor model, six-factor model, a hierarchical (second order) model with six first-order factors and two second-order factors, and a model with arbitrarily assigned items to six factors). In addition, three bifactor models were also tested: bifactor model #1 with two group factors (SCS positive items, called SCS positive) and SCS negative items, called SCS negative) and one general factor (overall SCS); bifactor model #2, which is a two-tier model with six group factors, three (SCS positive subscales) corresponding to one general dimension (SCS positive) and three (SCS negative subscales) corresponding to the second general dimension (SCS negative); bifactor model #3 with six group factors (six SCS subscales) and one general factor (overall SCS). Results The two-factor model, the six-factor model, and the hierarchical model showed less than ideal, but acceptable fit. The model fit indices for these models were comparable, with no apparent advantage of the six-factor model over the two-factor model. The one-factor model, the three-factor model, and bifactor model #3 showed poor fit. The other two bifactor models showed strong support for two factors: SCS positive and SCS negative. Conclusion The main results of this study are that, among the German general population, six SCS factors and two SCS factors fit the data reasonably well. While six factors can be modelled, the three negative factors and the three positive factors, respectively, did not reflect reliable or meaningful variance beyond the two summative positive and negative item factors. As such, we recommend the use of two subscale scores to capture a positive factor and a negative factor when administering the German SCS to general population samples and we strongly advise against the use of a total score across all SCS items.
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页数:17
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