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 language | English |
|---|---|
| Pages (from-to) | 85-101 |
| Number of pages | 17 |
| Journal | Testing, Psychometrics, Methodology in Applied Psychology |
| Volume | 27 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published (in print/issue) - 31 Mar 2020 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Insomnia Severity Index
- Psychometrics
- Factor structure
- Jordan
- Assessment
- Psychometric properties
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