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

Paul F Slater, B Bunting, F. Hasson, Ahmed Mohammad Al-Smadi, Omar Salem Gammoh, Ala Ashour

Research output: Contribution to journalArticlepeer-review

282 Downloads (Pure)

Abstract

Study objectives: To identify the factor structure of the Insomnia Severity Index (ISI) and test it against competing international measurement models. Methods: A cross-sectional study survey with a randomly selected sample of 1,500 individuals living in Jordan. The ISI was administered and a response rate of 84% (n = 1,260) 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 synchronize 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 instrument to detect severity of insomnia in the population. Our model helps synthesize previous approaches to measurement reported in the international literature.

Original languageEnglish
Pages (from-to)85-101
Number of pages17
JournalTesting, Psychometrics, Methodology in Applied Psychology
Volume27
Issue number1
DOIs
Publication statusPublished (in print/issue) - 31 Mar 2020

Keywords

  • Insomnia Severity Index
  • Psychometrics
  • Factor structure
  • Jordan
  • Assessment
  • Psychometric properties

Fingerprint

Dive into the research topics of 'A comparison of an emergent factor structure of the Insomnia Severity Index set against a global context'. Together they form a unique fingerprint.

Cite this