Determination of a Cutoff for Noise Sensitivity: Psychometric Evaluation of the Turkish Noise Sensitivity Questionnaire (Tr-NoiSeQ)

Abstract

Context: There is a need for a clear cutoff to use noise sensitivity (NS) scale as a prediagnostic tool in research and clinical use. Aims: Noise sensitivity questionnaire (NoiSeQ) was adapted into Turkish language (Tr-NoiSeQ); validity and reliability of the Tr-NoiSeQ were assessed. The cutoff for the Tr-NoiSeQ was determined. Settings and design: A descriptive study within subject design. Materials and methods: A group of 402 participants aged between 18 and 52 years filled the Tr-NoiSeQ and the Turkish version of Weinstein noise sensitivity scale (Tr-WNSS) via internet. Statistical analysis used: Cronbach alpha (alpha) and the Spearman-Brown coefficient were calculated for the reliability; Pearson correlation coefficient (r) and confirmatory factor analysis (CFA) were used for the validity. The receiver-operating characteristic (ROC) curve was used to calculate cutoff value of the Tr-NoiSeQ. Results: For the Tr-NoiSeQ, Cronbach alpha was 0.92, Spearman-Brown coefficient was 0.93 (P < 0.05). A high significant correlation between the Tr-WNSS and the Tr-NoiSeQ was obtained (r = 0.76, P < 0.05). The fit indexes of the model were obtained as (chi(2) = 1361.06, df = 546, P < 0.001), chi 2 / df = 2.49, root mean square error of approximation = 0.06, comparative fit index = 0.83, goodness of fit index = 0.82. The ROC curve showed that the cutoff for the Tr-NoiSeQ was 53 with a 0.92 sensitivity and a 0.85 specificity (P <= 0.05). Conclusion: The Tr-NoiSeQ is a valid and reliable tool for use in both clinical practice and research. The Tr-NoiSeQ seems to be consistent with the Tr-WNSS and can be used as a screening tool to evaluate NS in audiology.