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

ABSTRACT:

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

SUBMITTER: Coroiu A 

PROVIDER: S-EPMC5800544 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature