Self-Compassion Around the World: Measurement Invariance of the Short Form of the Self-Compassion Scale (SCS-SF) Across 65 Nations, 40 Languages, Gender Identities, and Age Groups

• Autores: Swami, Viren; Tran, Ulrich S.; Voracek, Martin; Aavik, Toivo; Ranjbar, Hamed Abdollahpour; Adebayo, Sulaiman Olanrewaju; Afhami, Reza; Ahmed, Oli; Aimé, Annie; Akel, Marwan; Al Halbusi, Hussam; Alexias, George; Ali, Khawla F.; Alp Dal, Nursel; Alsalhani, Anas B.; Álvarez Solas, Sara; Amaral, Ana Carolina Soares; Andrianto, Sonny; Aspden, Trefor; Argyrides, Marios; Aruta, John Jamir Benzon R.; Atkin, Stephen; Ayandele, Olusola; Baceviciene, Migle; Irrazabal, Natalia Carolina; Zanetti, Marcelo Callegari; Zawisza, Magdalena; Zeeni, Nadine; Zvaríková, Martina; Stieger, Stefan
• Año de publicación: 2025
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: SELF-COMPASSION SCALE; SHORT FORM; INVARIANCE; EMOTION
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

Objectives The 12-item Self-Compassion Scale–Short Form (SCS–SF) is a widely used instrument for the assessment of self-compassion. To date, there have been few examinations of this instrument’s psychometric properties, particularly across nations and languages. Therefore, we used data from the Body Image in Nature Survey (BINS) to assess measurement invariance of the SCS–SF across nations, languages, gender identities, and age groups. Methods Participants (N = 56,968) from 65 nations completed the SCS–SF in 40 languages. Using these data, we tested various hypothesised models of the SCS–SF in the total sample and, using multi-group confirmatory factor analysis, tested for invariance of the optimal model across national groups, languages, gender identities, and age groups. Results In the total dataset, we found that an 11-item, 2-factor model (i.e., SCS-11) provided best fit to the data, with the two factors tapping distinct constructs of compassionate and uncompassionate self-responding. The SCS-11 was found to be partially scalar invariant across national groups and languages, and fully scalar invariant across gender identities and age groups. There was wide variation in latent means for the two factors, particularly across national groups and languages. Further analyses showed negligible associations between the two factors and sociodemographic variables, including marital status, financial security, and urbanicity. Conclusions Our results suggest that it may be possible to derive a stable 2-factor model of the SCS–SF for use in cross-cultural research, but also highlight the likelihood of cross-national and cross-linguistic variations in the way that self-compassion is understood.
Fil: Swami, Viren. Anglia Ruskin University; Reino Unido. Perdana University; Malasia
Fil: Tran, Ulrich S.. Universidad de Viena; Austria
Fil: Voracek, Martin. Universidad de Viena; Austria
Fil: Aavik, Toivo. University of Tartu; Estonia
Fil: Ranjbar, Hamed Abdollahpour. Istinye University; Turquía
Fil: Adebayo, Sulaiman Olanrewaju. Ekiti State University; Nigeria
Fil: Afhami, Reza. Tarbiat Modares University; Irán
Fil: Ahmed, Oli. University of Chittagong; Bangladesh
Fil: Aimé, Annie. Université du Québec en Outaouais; Canadá
Fil: Akel, Marwan. Lebanese International University; Líbano
Fil: Al Halbusi, Hussam. Ahmed Bin Mohammad Military College; Qatar
Fil: Alexias, George. Panteion University of Social and Political Sciences; Grecia
Fil: Ali, Khawla F.. Royal College of Surgeons Ireland-Bahrain; Bahréin
Fil: Alp Dal, Nursel. Munzur University; Turquía
Fil: Alsalhani, Anas B.. Vision College of Dentistry and Nursing; Arabia Saudita
Fil: Álvarez Solas, Sara. Universidad Internacional de la Rioja (unir);
Fil: Amaral, Ana Carolina Soares. Federal Institute of Education; Brasil
Fil: Andrianto, Sonny. Universitas Islam Indonesia; Indonesia
Fil: Aspden, Trefor. Aberystwyth University.; Reino Unido
Fil: Argyrides, Marios. Neapolis University Pafos; Chipre
Fil: Aruta, John Jamir Benzon R.. De La Salle University; Filipinas
Fil: Atkin, Stephen. Royal College of Surgeons Ireland-Bahrain; Bahréin
Fil: Ayandele, Olusola. University of Ibadan; Nigeria
Fil: Baceviciene, Migle. Klaipeda University; Lituania
Fil: Irrazabal, Natalia Carolina. Universidad de Palermo; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Zanetti, Marcelo Callegari. São Judas Tadeu University; Brasil
Fil: Zawisza, Magdalena. Anglia Ruskin University; Reino Unido
Fil: Zeeni, Nadine. Lebanese American University; Líbano
Fil: Zvaríková, Martina. Comenius University in Bratislava; Eslovaquia
Fil: Stieger, Stefan. Karl Landsteiner University of Health Sciences; Austria