Factor Analysis and Validation of Sleep Health Scale in Nursing Context

Background and Objective: Sleep health can be defined as a multidimensional pattern of sleep-awakening that is consistent with individual, social, and environmental needs and its absence endangers physical and mental wellbeing. The objective of the present study was to validate the Sleep Health Sca...

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Main Authors: Nooshin Pordelan, Seyede Maryam Akbari kolour, Mohammad Reza Borna, Sadaf Khalijian
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-07-01
Series:Journal of Sleep Sciences
Subjects:
Online Access:https://jss.tums.ac.ir/index.php/jss/article/view/134
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spelling doaj-1053faf061f74452bbb4845b2e3f8f352020-12-02T05:38:45ZengTehran University of Medical SciencesJournal of Sleep Sciences2476-29382476-29462020-07-0143-4Factor Analysis and Validation of Sleep Health Scale in Nursing ContextNooshin Pordelan0Seyede Maryam Akbari kolour1Mohammad Reza Borna2Sadaf Khalijian3Department of Counseling, School of Education and Psychology, University of Isfahan, Isfahan, IranDepartment of Counseling, School of Education and Psychology, University of Tehran, Tehran, IranDepartment of Psychology, School of Humanities, Ahvaz Branch, Islamic Azad University, Ahvaz, IranDepartment of Education, School of Education and Psychology, Shahid Beheshti University, Tehran, Iran Background and Objective: Sleep health can be defined as a multidimensional pattern of sleep-awakening that is consistent with individual, social, and environmental needs and its absence endangers physical and mental wellbeing. The objective of the present study was to validate the Sleep Health Scale (SHS). Materials and Methods: The population for this study consisted of all nurses in Arak Province, Iran, including 130 participants who were selected using the available sampling method (simple sampling). Data collection was based on the SHS by Buysse, which resulted in 120 completed questionnaires. SPSS software was used for exploratory factor analysis (EFA), reliability, and correlation between questions, and AMOS was used for confirmatory factor analysis (CFA). This scale was translated from English to Persian and then was back-translated from Persian to English. The questionnaire was examined in terms of cultural sensitivities, clarity of questions, conflicts, and errors in meaningful-ness by a panel of experts. Results: Cronbach’s alpha coefficient for the questionnaire was 0.89; hence, the questionnaire was reliable. Factor loadings’ examination using EFA and CFA showed 0.77 and 0.80 for the questions and this confirmed an acceptable construct validity. All items showed acceptable correlation (0.82 to 0.84). The results of test-retest reliability showed stability over time (r = 0.83) for sleep health assessment. Conclusion: The Persian version of the questionnaire has acceptable validity and reliability and can be used for sleep health assessment, along with other questionnaires. https://jss.tums.ac.ir/index.php/jss/article/view/134Sleep; Nursing; Validation study; Factor analysis; Statistical; Reproducibility of results
collection DOAJ
language English
format Article
sources DOAJ
author Nooshin Pordelan
Seyede Maryam Akbari kolour
Mohammad Reza Borna
Sadaf Khalijian
spellingShingle Nooshin Pordelan
Seyede Maryam Akbari kolour
Mohammad Reza Borna
Sadaf Khalijian
Factor Analysis and Validation of Sleep Health Scale in Nursing Context
Journal of Sleep Sciences
Sleep; Nursing; Validation study; Factor analysis; Statistical; Reproducibility of results
author_facet Nooshin Pordelan
Seyede Maryam Akbari kolour
Mohammad Reza Borna
Sadaf Khalijian
author_sort Nooshin Pordelan
title Factor Analysis and Validation of Sleep Health Scale in Nursing Context
title_short Factor Analysis and Validation of Sleep Health Scale in Nursing Context
title_full Factor Analysis and Validation of Sleep Health Scale in Nursing Context
title_fullStr Factor Analysis and Validation of Sleep Health Scale in Nursing Context
title_full_unstemmed Factor Analysis and Validation of Sleep Health Scale in Nursing Context
title_sort factor analysis and validation of sleep health scale in nursing context
publisher Tehran University of Medical Sciences
series Journal of Sleep Sciences
issn 2476-2938
2476-2946
publishDate 2020-07-01
description Background and Objective: Sleep health can be defined as a multidimensional pattern of sleep-awakening that is consistent with individual, social, and environmental needs and its absence endangers physical and mental wellbeing. The objective of the present study was to validate the Sleep Health Scale (SHS). Materials and Methods: The population for this study consisted of all nurses in Arak Province, Iran, including 130 participants who were selected using the available sampling method (simple sampling). Data collection was based on the SHS by Buysse, which resulted in 120 completed questionnaires. SPSS software was used for exploratory factor analysis (EFA), reliability, and correlation between questions, and AMOS was used for confirmatory factor analysis (CFA). This scale was translated from English to Persian and then was back-translated from Persian to English. The questionnaire was examined in terms of cultural sensitivities, clarity of questions, conflicts, and errors in meaningful-ness by a panel of experts. Results: Cronbach’s alpha coefficient for the questionnaire was 0.89; hence, the questionnaire was reliable. Factor loadings’ examination using EFA and CFA showed 0.77 and 0.80 for the questions and this confirmed an acceptable construct validity. All items showed acceptable correlation (0.82 to 0.84). The results of test-retest reliability showed stability over time (r = 0.83) for sleep health assessment. Conclusion: The Persian version of the questionnaire has acceptable validity and reliability and can be used for sleep health assessment, along with other questionnaires.
topic Sleep; Nursing; Validation study; Factor analysis; Statistical; Reproducibility of results
url https://jss.tums.ac.ir/index.php/jss/article/view/134
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