Development of Persian Monosyllabic and Disyllabic Words for Auditory Test of Adults and Evaluation of Their Face Validity Using Psychometric Function

Author:

Hassani Haleh,Ahadi Mohsen,Jarollahi Farnoush,Jalaie Shohreh

Abstract

Background and Aim: The utilization of speech materials in audiological assessments has faced challenges due to a lack of standardization and insufficient consideration of acoustic factors. This study aimed to develop a set of psychometrically validated monosyllabic and disyllabic words in Persian for use in auditory tests. Methods: This cross-sectional study involved collecting the most frequently used one- and two-syllable words from Persian dictionaries. A panel of experts evaluated the selected words using a 4-point Likert scale. Based on their recommendations, 382 monosyllabic words and 150 disyllabic words met the established criteria. Male and female talkers recorded these words, which were then presented in a random order to 30 young adults with normal hearing (aged 18–30 years). The presentation intensity levels ranged from 0 to 48 dB HL with 8 dB increments. Logistic regression was used to determine the psychometric properties of the words. Results: As the intensity level increased, the percentage of word recognition scores also increased, reaching 100% at an intensity level of 48 dB HL. For Persian monosyllabic words, the mean psychometric slope was 0.29 %/dB for male talkers and 0.25 %/dB for female talkers. The corresponding slopes for Persian disyllabic words were 0.23 %/dB and 0.21 %/dB, respectively. Conclusion: This study successfully developed 382 monosyllabic words and 150 disyllabic words in Persian with comparable psychometric properties. These words can be utilized in auditory tests for Iranian adults.   Keywords: Monosyllabic words; disyllabic words; psychometric‏ ‏function; logistic regression; Persian speech materials

Publisher

Knowledge E DMCC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3