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Psychometric properties of the Disturbing Dream and Nightmare Severity Index-Korean version.

Ruda Lee, Barry Krakow, Sooyeon Suh

Journal of Clinical Sleep Medicine March 1, 2021 DOI: 10.5664/jcsm.8974 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Psychometric validation study Peer reviewed
Sample size 674
Population Individuals aged 18 to 39, including 109 retested after 3 months; 229 reported at least one nightmare per month
Duration Test-retest interval of 3 months
Measures Disturbing Dream and Nightmare Severity Index (DDNSI), Nightmare Effects Survey
Topics Dreaming
Keywords Humans Factor analysis, statistical Reproducibility of results Dreams Psychometrics Adolescent Young adult Republic of korea Surveys and questionnaires Sleep disorders Psychometric properties
Key points The Disturbing Dream and Nightmare Severity Index showed high internal consistency (Cronbach's alpha = .920 overall; .755 in those with more than one nightmare per month), three-month test-retest reliability of .705, and convergent validity with the Nightmare Effects Survey (r = .638). Exploratory factor analysis indicated two factors: nightmare frequency and nightmare distress. The authors conclude it is a reliable measure of nightmare severity.

Abstract

Study

Objectives: This study aimed to examine psychometric properties of the Disturbing Dream and Nightmare Severity Index (DDNSI) in individuals aged between 18 and 39.

Methods: All participants (n = 674) were asked to complete the DDNSI, including the modified Nightmare Effects Survey. Additionally, 109 participants were tested for test-retest reliability after 3 months. Among our sample, 229 (33.9%) reported having at least 1 nightmare per month.

Results: Internal consistency was evaluated for the total sample (Cronbach's α = .920) and separately for individuals reporting more than once per month (Cronbach's α = .755). Test-retest reliability after 3 months was .705. Convergent validity of the DDNSI with Nightmare Effects Survey was also satisfactory (r = .638, P < .001). Finally, exploratory factor analysis was conducted to explore the construct of the DDNSI, and results indicated that it consisted of 2 factors, nightmare frequency and nightmare distress [χ²(df) = 2.241(1) ∆χ² (∆df) = 155.575(4), Tucker-Lewis incremental fit index = .980, root mean square error of approximation (90% confidence interval) = .074 (0, .208), standardized root-mean-square residual = .011].

Conclusions: The DDNSI is a reliable measure of nightmare severity that can be used in various settings.

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