Turkish Version of the Sleep Self-Report Scale: Factorial Structure and Psychometric Properties for 8-12-Year Old Children.
Autor: | Ateş E; Department of Public Health Nursing, Ege University Faculty of Nursing, Izmir, Turkey., Konal Korkmaz E; Department of Public Health Nursing, Ege University Faculty of Nursing, Izmir, Turkey., Temel AB; Department of Nursing, Istanbul Health and Technology University, Istanbul, Turkey. |
---|---|
Jazyk: | angličtina |
Zdroj: | The Journal of school health [J Sch Health] 2023 Oct; Vol. 93 (10), pp. 910-919. Date of Electronic Publication: 2023 Jun 02. |
DOI: | 10.1111/josh.13355 |
Abstrakt: | 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. (© 2023 The Authors. Journal of School Health published by Wiley Periodicals LLC on behalf of American School Health Association.) |
Databáze: | MEDLINE |
Externí odkaz: |