Developing Persian version of Sensory Gating Inventory ‎‎(SGI): Validity and Reliability‎

Authors

  • Ahmad Daneshi ENT and Head & Neck Research center and Department, Iran University of Medical Sciences (IUMS), Tehran, Iran
  • Leila Janani Department of Biostatistics, School of Public Health, Iran University of Medical Sciences (IUMS), Tehran, Iran
  • Mehrnaz Mohebbi Laboratory for Auditory Neuroscience, ENT and Head & Neck Research Center and Department, Iran University of Medical Sciences (IUMS), Tehran, Iran
  • Mohammad Farhadi ENT and Head & Neck Research center and Department, Iran University of Medical Sciences (IUMS), Tehran, Iran
  • Saeid Mahmoudian Laboratory for Auditory Neuroscience, ENT and Head & Neck Research Center and Department, Iran University of Medical Sciences (IUMS), Tehran, Iran
  • Seyed Abbas Motevalian Department of Epidemiology, School of Public Health, Iran University of Medical Sciences (IUMS), Tehran, Iran
Abstract:

Introduction: Sensory Gating Inventory (SGI) measures behavioral aspects of Sensory Gating (SG). It is a filtering mechanism of brain that prevents irrelevant sensory inputs from entering into higher cortex information processing. It modifies sensitivity to sensory stimuli. Abnormal SG leads to overloading of information into cortex and brain dysfunction. Electrophysiological techniques cannot assess behavioral aspects of SG. Purpose: The aim of this study was to create Persian SGI with high validity and reliability. Methods: After a forward-backward translation, content validity and construct validity were measured. 405 participants filled the Persian Inventory. To assess test-retest reliability 100 participants filled the inventory again within 7-10 days later. Content Validity Ratio and index, as well as confirmatory factor analysis, were computed. Cronbach’s alpha, Cohen’s Kappa and intra-class correlation coefficients were calculated. Results: Statistical analyses showed that all items had content validity ratios more than 60%, which meant all items were judged to be necessary by the experts. Confirmatory factor analysis confirmed the fit of the 4-factor structure of the original Inventory. Test-retest reliability using Intra-class Correlation Coefficient and Cronbach’s alpha coefficients were high for the four subscales. Cohen’s Kappa coefficients revealed moderate to substantial level of agreement between the first and second scores for all items. Conclusions: This study demonstrated that Persian SGI has good and acceptable psychometric properties. It can be used as a validated and reliable tool for studying behavioral aspects of SG in Persian language population.

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Journal title

volume 10  issue 5

pages  9- 9

publication date 2019-09

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