<?xml version="1.0"?>
<Articles JournalTitle="Auditory and Vestibular Research">
  <Article>
    <Journal>
      <PublisherName>Tehran University of Medical Sciences</PublisherName>
      <JournalTitle>Auditory and Vestibular Research</JournalTitle>
      <Issn>2423-480X</Issn>
      <Volume>24</Volume>
      <Issue>4</Issue>
      <PubDate PubStatus="epublish">
        <Year>2015</Year>
        <Month>11</Month>
        <Day>25</Day>
      </PubDate>
    </Journal>
    <title locale="en_US">Development, validity and reliability of Persian quick speech in noise test with steady noise</title>
    <FirstPage>234</FirstPage>
    <LastPage>244</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Soheila</FirstName>
        <LastName>Shayanmehr</LastName>
        <affiliation locale="en_US">Department of Audiology, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Ali Akbar</FirstName>
        <LastName>Tahaei</LastName>
        <affiliation locale="en_US">Department of Audiology, School of Rehabilitation Sciences, Iran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Jamileh</FirstName>
        <LastName>Fatahi</LastName>
        <affiliation locale="en_US">Department of Audiology, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Shohreh</FirstName>
        <LastName>Jalaie</LastName>
        <affiliation locale="en_US">Biostatistics, School of Rehabilitation, Tehran University of Medical Sciences, Tehran, Iran</affiliation>
      </Author>
      <Author>
        <FirstName>Yahya</FirstName>
        <LastName>Modarresi</LastName>
        <affiliation locale="en_US">Department of Linguistics, Institute of Humanities and Cultural Studies, Tehran, Iran</affiliation>
      </Author>
    </AuthorList>
    <History>
      <PubDate PubStatus="received">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>20</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2015</Year>
        <Month>10</Month>
        <Day>20</Day>
      </PubDate>
    </History>
    <abstract locale="en_US">Background and Aim: Quick Speech in Noise (Q-SIN) test has popularity for evaluating speech recognition in noise. The present study has been paid to build five new Persian lists with respect to all possible factors affecting the test, to determine validity of the test and to 
 run five lists for normal hearing subjects and assessment of reliability.
 Methods: To build lists, frequent, familiar and difficult in terms of cognitive (cohort size of above three) words were used to construct un&#xAD;predictable sentences. After determining the content and face validity, the 30 selected sen&#xAD;tences were recorded in the studio by a familiar female speaker. The recorded sentences and prepared four talker babbling noise were com&#xAD;bined in Cool Edit software. Then five test lists were conducted in 35, 18-35 year old indi&#xAD;viduals with normal hearing. The reliability was assessed with the retest after two weeks.
 Results: The 30 sentences became valid (con&#xAD;tent and face validity) with the change accor&#xAD;ding to expert judges. The average Signal to noise ratio (SNR) loss of five lists was 0.35 dB. There was no significant difference between men and women in all lists except list 4 (p=0.03). The results indicate no difference in the average SNR loss between five Lists. 
 In reliability assessment test-retest correlation coefficient was 8.0 (p&lt;0.05). Intra-class coeffi&#xAD;cient (ICC) for lists was statistically significant (p=0.00) and confirmed the lists have reliability and high repeatability.
 Conclusions: The Developed lists are valid, equivalent and reliable and can be utilized in clinical application.</abstract>
    <web_url>https://avr.tums.ac.ir/index.php/avr/article/view/34</web_url>
    <pdf_url>https://avr.tums.ac.ir/index.php/avr/article/download/34/32</pdf_url>
  </Article>
</Articles>
