Cited by 4Mindfulness and Compassion InterventionsPsychometric Methodologies and TestingPsychological Well-being and Life Satisfaction

Psychometric Properties of the Self-Compassion Scale in the Polish Population

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Holas, Paweł, Shevchuk, Yuliana, Jankowski, Tomasz·2023·Roczniki Psychologiczne

Abstract

The purpose of the present study was to adapt the Self-Compassion Scale (SCS; Neff, 2003) into Polish, to examine its validity and reliability, and to determine population norms for this tool. The study involved 604 adults (aged 18–85 years, 278 women and 326 men), constituting a representative sample of the Polish population in terms of gender, age, and place of residence. The adaptation procedure was carried out according to the rules of translation, demonstrating the fidelity of the translation of the original version of the questionnaire. The reliability of the measurement was tested using Cronbach’s alpha internal consistency method and test–retest method. The validity was assessed by analyzing correlation coefficients between SCS scores and the intensity of mindfulness (understood as a trait), resilience, empathic sensitivity with its subscales of perspective taking, personal distress and emphatic concern, and the level of depression and anxiety. Measurement stability was assessed using intraclass correlation coefficients applied to two consecutive measurements. The factor structure was verified using confirmatory factor analysis. The results showed that the SCS in the Polish version has good psychometric properties, and the emerged factor structure indicates that the best fit and specification had a model with two general factors of CS (compassionate self-responding) and RUS (reduced uncompassionate self-responding) and three specific factors: self-kindness, shared humanity, and mindfulness.

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  • In the Polish adaptation of the full SCS, the original structure proposed by Neff was not confirmed; instead a two-factor model with compassionate (CS) and uncompassionate (RUS) self-attitudes was better fitted.

    “W polskiej adaptacji pełnej skali SCS [29] także nie potwierdzono pierwotnej struktury zaproponowanej przez Neff, wzamian uzyskując strukturę czynnikową lepiej dopasowaną do modelu dwuczynnikowego zwyodrębnieniem dwóch skal określających współczujące (CS) oraz niewspółczujące podejście do siebie samego (RUS) ztrzema szczegółowymi czynnikami pozytywnych inegatywnych aspektów życzliwości dla samego”

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  • The Polish adaptation of the Self-Compassion Scale Short Form

    Holas, P., Szewczuk, J., Rusanowska, M., Krejtz, I., Jankowski, T., & Nezlek, J. (2024) · Psychiatria Polska · doi:10.12740/pp/172115 · Cited by 14 · see citing works

    “Aby uzyskać informacje na temat konkretnych podskal, zaleca się korzystanie z pełnej wersji SCS (chodzi o współczujące (CS) oraz niewspółczujące podejście do siebie (RUS), a także o trzy specyficzne czynniki pozytywne i negatywne [29]).”
    BackgroundSelf-citation

Authors
Holas, P., Shevchuk, Y., & Jankowski, T.
Affiliations
  • University of Warsaw (PL)
  • John Paul II Catholic University of Lublin (PL)
Venue
Roczniki Psychologiczne
Published
2023-05-26
Volume
26
Issue
2
Pages
135-157
ISSN
  • 1507-7888 (ISSN-L)
  • 2451-4306
OpenAlex
W4378468984
Cited by
4
References
20
Citations by year
2026: 2 · 2025: 2
FWCI
1.17
Type
journal article
Language
en
Open access
Locations
  • Roczniki Psychologiczne (publishedVersion, cc-by-nc-nd)
  • OSF Preprints (OSF Preprints) (submittedVersion)
Funders
Uniwersytet Warszawski (501‐D125‐01‐1250000)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Mindfulness and Compassion Interventions
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
Keywords
Self-Compassion Scale, self-compassion, Polish adaptation, psychometric properties, cross-cultural adaptation, factor structure, self-kindness, shared humanity, mindfulness, resilience, empathic sensitivity, depression, anxiety, measurement reliability, population norms

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