PSYCHOMETRICKÁ ANALÝZA ŠKÁLY FUNKČNÍHO POSOUZENÍ TERAPIE CHRONICKÝCH NEMOCÍ - SPIRITUÁLNÍ OSOBNÍ POHODA (FACIT-Sp) V ČESKÉM PROSTŘEDÍ

Objectives. Spirituality is connected to many domains of human life including psychical, physical and social health. Therefore, valid instruments for measuring of the spirituality are needed. The aim of this study was a psychometric analysis of the Czech version of the Functional Assessment of Chron...

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Veröffentlicht in:Československá psychologie 2018-01, Vol.62, p.114-128
Hauptverfasser: Šarníková, Gabriela, Maliňáková, Klára, Fürstová, Jana, Dubovská, Eva, Tavel, Peter
Format: Artikel
Sprache:cze ; slv
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Zusammenfassung:Objectives. Spirituality is connected to many domains of human life including psychical, physical and social health. Therefore, valid instruments for measuring of the spirituality are needed. The aim of this study was a psychometric analysis of the Czech version of the Functional Assessment of Chronic Illness TherapySpiritual Well Being (FACIT-Sp) scale. Sample and settings. A nationally representative sample of 1000 Czech respondents aged fifteen years and over (N=1000; 46,04±17,28 years; 48,6% men) participated in the survey. Spiritual well-being and basic socioeconomic information were measured. Results. Results showed differences in spiritual well-being among different demographic groups. Women and the age group over 60 years scored significantly higher in the dimension of faith. Values of subscale Meaning/Peace were decreasing with age and were also lower in the group of lonely living respondents and respondents with lower education level. Exploratory factor analysis (EFA) was used to assess the number of factors with the use of methods Kaiser crtierion, scree plot, Paralel analysis (PA) and Minimum average partial test (MAP). Three items of the scale were eliminated due to decrease of the reliability of the measure. Subsequently, EFA suggested both two and three factor solution, where the factor Meaning/ Peace was divided into two factors Meaning and Peace. The confirmatory factor analysis supports both two- and three-factorial model, however, suggests slightly better fit for the threefactorial model with %2 (24) = 147,1; p
ISSN:0009-062X
1804-6436