Development and Psychometric Properties of the Sleep Parenting Scale for Infants.

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Title: Development and Psychometric Properties of the Sleep Parenting Scale for Infants.
Authors: Lo, Brian K., McTernan, Melissa L., Haines, Jess, Savage, Jennifer S., Kugler, Kari C., Haneuse, Sebastien, Redline, Susan, Taveras, Elsie M., Davison, Kirsten K.
Source: Behavioral Medicine. Apr-Jun2023, Vol. 49 Issue 2, p151-161. 11p. 4 Charts.
Subjects: Experimental design, Research evaluation, Research methodology, Research methodology evaluation, Regression analysis, Sleep, Parenting, Psychometrics, Cronbach's alpha, T-test (Statistics), Factor analysis, Research funding, Parent-child relationships, Children
Geographic Terms: Massachusetts
Abstract: Although infants' sleep behaviors are shaped by their interactions with parents at bedtime, few tools exist to capture parents' sleep parenting practices. This study developed a Sleep Parenting Scale for Infants (SPS-I) and aimed to (1) explore and validate its factorial structure, (2) examine its measurement invariance across mothers and fathers, and (3) investigate its reliability and concurrent and convergent validity. SPS-I was developed via a combination of items modified from existing scales and the development of novel items. Participants included 188 mothers and 152 mother–father dyads resulting in 340 mothers and 152 fathers; about half were non-Hispanic white. Mothers and fathers completed a 14-item SPS-I for their 12-month-old infant. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to explore and validate SPS-I's underlying structure. Multigroup CFA was used to examine measurement invariance across mothers and fathers. Reliability was examined using Cronbach's alpha. Concurrent validity was assessed using linear regressions examining associations between SPS-I factors and parent-reported infants nighttime sleep duration. Convergent validity was assessed using paired-sample t-tests to test whether the SPS-I subscale scores were similar between mothers and fathers in the same household. EFA and CFA confirmed a 3-factor, 12-item model: sleep routines, sleep autonomy, and screen media in the sleep environment. SPS-I was invariant across mothers and fathers and was reliable. Concurrent and convergent validity were established. SPS-I has good psychometric properties, supporting its use for characterizing sleep routines, sleep autonomy, and screen media in the sleep environment by mothers and fathers. Supplemental data for this article is available online at https://doi.org/10.1080/08964289.2021.2002799. [ABSTRACT FROM AUTHOR]
Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Development and Psychometric Properties of the Sleep Parenting Scale for Infants.
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  Data: <searchLink fieldCode="AR" term="%22Lo%2C+Brian+K%2E%22">Lo, Brian K.</searchLink><br /><searchLink fieldCode="AR" term="%22McTernan%2C+Melissa+L%2E%22">McTernan, Melissa L.</searchLink><br /><searchLink fieldCode="AR" term="%22Haines%2C+Jess%22">Haines, Jess</searchLink><br /><searchLink fieldCode="AR" term="%22Savage%2C+Jennifer+S%2E%22">Savage, Jennifer S.</searchLink><br /><searchLink fieldCode="AR" term="%22Kugler%2C+Kari+C%2E%22">Kugler, Kari C.</searchLink><br /><searchLink fieldCode="AR" term="%22Haneuse%2C+Sebastien%22">Haneuse, Sebastien</searchLink><br /><searchLink fieldCode="AR" term="%22Redline%2C+Susan%22">Redline, Susan</searchLink><br /><searchLink fieldCode="AR" term="%22Taveras%2C+Elsie+M%2E%22">Taveras, Elsie M.</searchLink><br /><searchLink fieldCode="AR" term="%22Davison%2C+Kirsten+K%2E%22">Davison, Kirsten K.</searchLink>
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  Data: <searchLink fieldCode="JN" term="%22Behavioral+Medicine%22">Behavioral Medicine</searchLink>. Apr-Jun2023, Vol. 49 Issue 2, p151-161. 11p. 4 Charts.
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  Data: Although infants' sleep behaviors are shaped by their interactions with parents at bedtime, few tools exist to capture parents' sleep parenting practices. This study developed a Sleep Parenting Scale for Infants (SPS-I) and aimed to (1) explore and validate its factorial structure, (2) examine its measurement invariance across mothers and fathers, and (3) investigate its reliability and concurrent and convergent validity. SPS-I was developed via a combination of items modified from existing scales and the development of novel items. Participants included 188 mothers and 152 mother–father dyads resulting in 340 mothers and 152 fathers; about half were non-Hispanic white. Mothers and fathers completed a 14-item SPS-I for their 12-month-old infant. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to explore and validate SPS-I's underlying structure. Multigroup CFA was used to examine measurement invariance across mothers and fathers. Reliability was examined using Cronbach's alpha. Concurrent validity was assessed using linear regressions examining associations between SPS-I factors and parent-reported infants nighttime sleep duration. Convergent validity was assessed using paired-sample t-tests to test whether the SPS-I subscale scores were similar between mothers and fathers in the same household. EFA and CFA confirmed a 3-factor, 12-item model: sleep routines, sleep autonomy, and screen media in the sleep environment. SPS-I was invariant across mothers and fathers and was reliable. Concurrent and convergent validity were established. SPS-I has good psychometric properties, supporting its use for characterizing sleep routines, sleep autonomy, and screen media in the sleep environment by mothers and fathers. Supplemental data for this article is available online at https://doi.org/10.1080/08964289.2021.2002799. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Behavioral Medicine is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/08964289.2021.2002799
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 151
    Subjects:
      – SubjectFull: Experimental design
        Type: general
      – SubjectFull: Research evaluation
        Type: general
      – SubjectFull: Research methodology
        Type: general
      – SubjectFull: Research methodology evaluation
        Type: general
      – SubjectFull: Regression analysis
        Type: general
      – SubjectFull: Sleep
        Type: general
      – SubjectFull: Parenting
        Type: general
      – SubjectFull: Psychometrics
        Type: general
      – SubjectFull: Cronbach's alpha
        Type: general
      – SubjectFull: T-test (Statistics)
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      – SubjectFull: Factor analysis
        Type: general
      – SubjectFull: Research funding
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      – SubjectFull: Parent-child relationships
        Type: general
      – SubjectFull: Children
        Type: general
      – SubjectFull: Massachusetts
        Type: general
    Titles:
      – TitleFull: Development and Psychometric Properties of the Sleep Parenting Scale for Infants.
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            – D: 01
              M: 04
              Text: Apr-Jun2023
              Type: published
              Y: 2023
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