Skip navigation

Zastosuj identyfikator do podlinkowania lub zacytowania tej pozycji: http://hdl.handle.net/20.500.12128/23371
Tytuł: Validity and reliability of the Polish version of the Self-Compassion Scale and its correlates
Autor: Kocur, Dagna
Flakus, Maria
Fopka-Kowalczyk, Małgorzata
Słowa kluczowe: Scanning electron microscopy; Anxiety; Depression; Emotions; Built structures; Mental health and psychiatry; Personality traits; Psychometrics
Data wydania: 2022
Źródło: "PLoS ONE" Vol. 17 (2022), art. no e0267637
Abstrakt: This study adapts the Self-Compassion Scale into Polish and tests the validity, reliability and factor structure of its measures. In the first phase of the research (Study I), 645 respondents were assessed using the NEO-FFI Scale, the Self-Esteem Scale and a backtranslated version of the Self-Compassion Scale. The aim of Study I is to analyse the factor structure of the Polish adaptation of the Self-Compassion Scale. The results of analyses using structural equation modelling and exploratory structural equation modelling confirm the six-component structure of the Self-Compassion Scale and the possibility of distinguishing a single primary factor. The results of these analyses indicate that self-compassion is conceptually distinctive from personality traits and self-judgement. In the second phase of the study (Study II), 688 respondents were assessed and the findings show that self-compassion is a predictor of depressive symptoms, trait anxiety, and satisfaction with life, and is also linked to emotional intelligence. In conclusion, the findings of this study show that the Polish version of the Self-Compassion Scale is a reliable and valid measure of selfcompassion.
URI: http://hdl.handle.net/20.500.12128/23371
DOI: 10.1371/journal.pone.0267637
ISSN: 1932-6203
Pojawia się w kolekcji:Artykuły (WNS)

Pliki tej pozycji:
Plik Opis RozmiarFormat 
Kocur_Validity_and _reliability_of_the_Polish_version_of_the_Self-Compassion_Scale.pdf1,33 MBAdobe PDFPrzejrzyj / Otwórz
Pokaż pełny rekord


Uznanie Autorstwa 3.0 Polska Creative Commons Creative Commons