A Sleep Quality Scale in Hindi: Psychometric properties and standardization in an Indian sample

Pages: 186-192
Anju Singh, Rashmi Rani, and Arun Kumar Jaiswal (Department of Psychology, Faculty of Social Sciences, Mahatma Gandhi Kashi Vidyapith, Varanasi, Uttar Pradesh)

The study was conducted with the objective to construct a scale to measure quality of sleep in Hindi language and to assess its psychometric properties, factorial structure, and predictive validity in Indian cultural context. Two hundred 20 to 67 years old participants from Varanasi city of Uttar Pradesh were administered a 15-item Sleep Quality Scale in Hindi language. Exploratory factor analysis (principal components) revealed two factors, ‘Primary Sleep Disturbances’ and ‘Nocturnal Sleep Disturbances and Daytime Sleepiness’, and these two factors respectively explained 27.273% and 10.292% of variance, and together the two factors explained a total of 37.565 % of variance. Confirmatory factor analyses were done for both single factor and two factors models, and the observations indicated a better goodness of fit indexes for two factors as compared to single factor model. The split-half, Cronbach’s alpha and Guttmann lambda 2 reliability coefficients two subscales and whole Sleep Quality Scale have been found to be fairly high. The subscales of Sleep Quality Scale and whole scale strongly associated with BDI-II and worry engagement. No gender differences emerged on the subscales and whole scale.