Home Email this page Print this page Bookmark this page Decrease font size Default font size Increase font size
Noise & Health  
 Next article
 Previous article
Table of Contents

Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
Citation Manager
Access Statistics
Reader Comments
Email Alert *
Add to My List *
 * Requires registration (Free)

 Article Access Statistics
    PDF Downloaded9    
    Comments [Add]    

Recommend this journal


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)

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
Login to access the Email id

Source of Support: None, Conflict of Interest: None

DOI: 10.4103/nah.nah_46_21

Rights and Permissions

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.


Print this article     Email this article