A comparison of an emergent factor structure of the Insomnia Severity Index set against a global context

Research output: Contribution to journalArticle

Abstract

ABSTRACT
Study Objectives: To identify the factor structure of the Insomnia Severity Index and test it against competing international measurement models.

Methods: A cross sectional study survey with a randomly selected sample of 1500 individual’s living in Jordan. The ISI was administered and a response rate of 84% (n=1260) obtained. Both exploratory and confirmatory factor analysis were used to examine competing theoretical measurement models.

Results: A new emergent measurement model was identified that may help synchronise differing measurement models reported in international literature. Exploratory factor analysis results indicated a two-factor model as a reasonably sound explanation of the data. However, this model is challenged by results from a confirmatory factor analysis.

Conclusions: These findings expand the evidence base that the ISI is a reliable and valid instrument to detect cases of insomnia in the population. Our model helps synthesise previous approaches to measurement reported in the international literature.
LanguageEnglish
JournalTesting, Psychometrics, Methodology in Applied Psychology
Publication statusAccepted/In press - 15 Apr 2019

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Sleep Initiation and Maintenance Disorders
Statistical Factor Analysis
Cross-Sectional Studies
Jordan
Theoretical Models
Population

Keywords

  • Insomnia Severity Index
  • Psychometrics
  • Factor structure
  • Jordan

Cite this

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title = "A comparison of an emergent factor structure of the Insomnia Severity Index set against a global context",
abstract = "ABSTRACT Study Objectives: To identify the factor structure of the Insomnia Severity Index and test it against competing international measurement models.Methods: A cross sectional study survey with a randomly selected sample of 1500 individual’s living in Jordan. The ISI was administered and a response rate of 84{\%} (n=1260) obtained. Both exploratory and confirmatory factor analysis were used to examine competing theoretical measurement models.Results: A new emergent measurement model was identified that may help synchronise differing measurement models reported in international literature. Exploratory factor analysis results indicated a two-factor model as a reasonably sound explanation of the data. However, this model is challenged by results from a confirmatory factor analysis. Conclusions: These findings expand the evidence base that the ISI is a reliable and valid instrument to detect cases of insomnia in the population. Our model helps synthesise previous approaches to measurement reported in the international literature.",
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N2 - ABSTRACT Study Objectives: To identify the factor structure of the Insomnia Severity Index and test it against competing international measurement models.Methods: A cross sectional study survey with a randomly selected sample of 1500 individual’s living in Jordan. The ISI was administered and a response rate of 84% (n=1260) obtained. Both exploratory and confirmatory factor analysis were used to examine competing theoretical measurement models.Results: A new emergent measurement model was identified that may help synchronise differing measurement models reported in international literature. Exploratory factor analysis results indicated a two-factor model as a reasonably sound explanation of the data. However, this model is challenged by results from a confirmatory factor analysis. Conclusions: These findings expand the evidence base that the ISI is a reliable and valid instrument to detect cases of insomnia in the population. Our model helps synthesise previous approaches to measurement reported in the international literature.

AB - ABSTRACT Study Objectives: To identify the factor structure of the Insomnia Severity Index and test it against competing international measurement models.Methods: A cross sectional study survey with a randomly selected sample of 1500 individual’s living in Jordan. The ISI was administered and a response rate of 84% (n=1260) obtained. Both exploratory and confirmatory factor analysis were used to examine competing theoretical measurement models.Results: A new emergent measurement model was identified that may help synchronise differing measurement models reported in international literature. Exploratory factor analysis results indicated a two-factor model as a reasonably sound explanation of the data. However, this model is challenged by results from a confirmatory factor analysis. Conclusions: These findings expand the evidence base that the ISI is a reliable and valid instrument to detect cases of insomnia in the population. Our model helps synthesise previous approaches to measurement reported in the international literature.

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