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Turkish Version of the Sleep Self-Report Scale: Factorial Structure and Psychometric Properties for 8-12-Year Old
Esin Ateş1, Ebru Konal Korkmaz1, Ayla Baylk Temel2
1Department of Public Health Nursing, Ege University Faculty of Nursing, Izmir, Turkey.
Insights
The Sleep Self-Report Scale (SSRS) is a valid and reliable tool for identifying childhood sleep problems in Turkish children. This study confirmed its usability for assessing pediatric sleep issues in a new population.
Area of Science:
- Pediatric Sleep Medicine
- Child Psychology
- Psychometrics
Background:
- Childhood sleep problems significantly impact development.
- The Sleep Self-Report Scale (SSRS) is a key tool for assessing pediatric sleep issues.
- Cross-cultural validation of the SSRS is needed.
Purpose of the Study:
- To evaluate the validity and reliability of the SSRS in Turkish children.
- To expand the usability of the SSRS for assessing sleep problems in a diverse pediatric population.
Main Methods:
- Methodological, descriptive, correlational study.
- Data collected from 1138 children using the SSRS and a sociodemographic form.
- Statistical analyses included factor analysis, Cronbach's alpha, and item-total score analysis.
Main Results:
- The SSRS comprises 23 items across 3 sub-dimensions explaining 58.79% of total variance.
- Confirmatory factor analysis showed excellent fit indices (goodness of fit >0.90, RMSEA <0.08).
- The overall Cronbach's alpha coefficient was .94, indicating high reliability.
Conclusions:
- The SSRS is a valid and reliable instrument for identifying sleep problems in Turkish children.
- Exploratory and confirmatory analyses support the scale's factorial structure.
- The SSRS effectively assesses key areas of sleep in pediatric populations.
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.
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