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Turkish version of the sleep self-report scale: Factorial structure and psychometric properties for 8-12-year old children
(Wiley, 2023) Ateş, Esin; Konal Korkmaz, Ebru; Bayık Temel, Ayla
BACKGROUND Appropriate diagnosis of sleep problems is crucial, given the importance of sleep in childhood development. The Sleep Self-Report Scale (SSRS) is used to assess children's sleep problems in the United States and Spain, and this study aimed to expand the usability of this instrument by evaluating its validity and reliability in Turkish children. Methods Between March 2019 and December 2019, this methodological, descriptive, correlational study was conducted on 1138 children. The sociodemographic information form and the SSRS were used to collect data. Factor analysis, Cronbach's alpha, and item-total score analysis were used for data analysis. Results The scale consists of 23 items and 3 sub-dimensions. Three sub-dimensions were observed to explain 58.79% of the total variance. All goodness of fit indices were >0.90 and the root mean square error was <0.08 in the confirmatory factor analysis. For the entire scale, the Cronbach's alpha coefficient is .94. Conclusions The SSRS was found to be a valid and reliable instrument to identify sleep problems. The factorial structure supported by exploratory and confirmatory analysis examines the most relevant areas of sleep in children.