Dataset Information

Investigating Stable and Dynamic Aspects of the Vietnamese Self-Compassion Scale using Generalisability Theory.

ABSTRACT:

Objectives

Evaluating comprehensive reliability of the Vietnamese Self-Compassion Scale (VSCS) and its ability to distinguish between trait (stable) vs state (dynamic) aspects of self-compassion using Generalisability Theory (G-Theory) is necessary. This investigation contributes to both reliability and validity of research that uses the VSCS to measure self-compassion in Vietnamese adults.

Methods

In a sample of 155 Vietnamese adults who completed the VSCS at three occasions that were each 2 weeks apart, a G-study was conducted to measure reliability and trait vs state aspects of each VSCS subscale and the short-form VSCS, and a D-study was conducted to examine the effects of removing subscales on overall scale reliability as well as evaluate trait vs state aspects of each item.

Results

With G-coefficients of 0.93-0.98, both the complete and short-form VSCS (VSCS-SF) demonstrated excellent reliability in measuring trait self-compassion. Three of the six subscales-self-judgement, mindfulness, and kindness-also demonstrated excellent reliability, with G-coefficients of 0.82-0.85. Eighteen of the 26 items measured trait more than state. The remaining eight items reflected a mixture of trait and state, but this did not affect overall reliability.

Conclusions

This study indicated that the VSCS, VSCS-SF, and three VSCS subscales reliably measured trait self-compassion, with scores generalisable across the Vietnamese population and occasions. Thus, overall self-compassion levels remained stable over time, which is useful for evaluating the effectiveness of an intervention because significant changes of self-compassion are likely to be long-lasting.

Supplementary information

The online version contains supplementary material available at 10.1007/s12671-022-01950-3.

SUBMITTER: Truong QC

PROVIDER: S-EPMC9296896 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Investigating Stable and Dynamic Aspects of the Vietnamese Self-Compassion Scale using Generalisability Theory.

Truong Quoc Cuong QC Nguyen Thanh Minh TM Nguyen An Hong AH Medvedeva Angela A Medvedev Oleg N ON

Mindfulness 20220720 9

<h4>Objectives</h4>Evaluating comprehensive reliability of the Vietnamese Self-Compassion Scale (VSCS) and its ability to distinguish between trait (stable) vs state (dynamic) aspects of self-compassion using Generalisability Theory (G-Theory) is necessary. This investigation contributes to both reliability and validity of research that uses the VSCS to measure self-compassion in Vietnamese adults.<h4>Methods</h4>In a sample of 155 Vietnamese adults who completed the VSCS at three occasions that ...[more]

PMID: 35873086

Similar Datasets

Project description:BackgroundPublished 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.MethodsA 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).ResultsThe 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.ConclusionThe 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.

Dataset Information

Investigating Stable and Dynamic Aspects of the Vietnamese Self-Compassion Scale using Generalisability Theory.

Objectives

Methods

Results

Conclusions

Supplementary information

Publications

Investigating Stable and Dynamic Aspects of the Vietnamese Self-Compassion Scale using Generalisability Theory.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets