Background: The Weinstein Noise Sensitivity Scale (NSS) is widely recognized as a prominent unidimensional self-reported questionnaire to measure noise sensitivity, which is regarded as the foremost subjective factor moderating the impact of noise on perceived levels of annoyance. In this current study, we conducted an examination of the psychometric properties of a newly translated Arabic version of the short form of the scale (NSS-SF).
Methods: A sample of 527 Lebanese adolescents participated in the study, completing the NSS-SF with measures of noise annoyance and insomnia. The total sample was randomly divided into two subsamples. Exploratory-to-Confirmatory Factor Analysis (EFA-CFA) was conducted. The normed model chi-square (χ²/df), the Steiger-Lind root mean square error of approximation (RMSEA), the Tucker-Lewis Index (TLI) and the comparative fit index (CFI). Values ≤ 5 for χ²/df, and ≤ 0.08 for RMSEA, and 0.90 for CFI and TLI indicate good fit of the model to the data. Composite reliability in both subsamples was assessed using McDonald's ω and Cronbach's alpha.
Results: EFA results on the first split-half subsample revealed that one item (item 2) was removed because of low communality (< 0.3); the other 4 items converged on one factor, which explained 67.85% of the common variance (ω = 0.84 and α = 0.84). CFA was conducted on the second half-split subsample in adults according to the model obtained on the first split-half subsample; the fit indices were acceptable as follows: χ2/df = 5.07/2 = 2.54, p < .001, RMSEA = 0.076 (90% CI 0.001, 0.160), SRMR = 0.021, CFI = 0.992, and TLI = 0.976 (ω = 0.84 and α = 0.84). Configural, metric, and scalar invariance was supported across gender in the total sample.
Conclusion: Our findings substantiate that the Arabic version of the NSS-SF is a reliable, psychometrically valid instrument for assessing noise sensitivity among Arab adolescents, thereby enhancing its overall utility and applicability within Arab countries.
Keywords: Adolescents; Arabic; Insomnia severity; Lebanon; Noise annoyance; Noise sensitivity; Psychometrics.
© 2023. The Author(s).