ORIGINAL ARTICLE |
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Year : 2022 | Volume
: 24
| Issue : 113 | Page : 82--88 |
Determination of a cutoff for noise sensitivity: Psychometric evaluation of the Turkish Noise Sensitivity Questionnaire (Tr-NoiSeQ)
Asuman Alniacik, Eda Çakmak
Department of Audiology, Faculty of Health Sciences, Başkent University, Ankara, Turkey
Correspondence Address:
Asuman Alniacik Faculty of Health Sciences, Department of Audiology, Başkent University, Bağlica Campus, Eskisehir Road, 18.km Fatih Sultan Mehmet Street, Ankara, 06810 Turkey
 Source of Support: None, Conflict of Interest: None  | Check |
DOI: 10.4103/nah.nah_46_21
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 (α) 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 α 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 (χ2 = 1361.06, df = 546, P < 0.001), χ2 / 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.
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