Bentler R A
University of Iowa, Department of Speech Pathology and Audiology, WJSHC, Iowa City, IA 52242, USA.
Am J Audiol. 2000 Dec;9(2):84-100. doi: 10.1044/1059-0889(2000/010).
The Speech in Noise (SIN) test consists of a series of Institute of Electrical and Electronic Engineers sentences presented in a background of four-talker babble at two presentation levels (83 and 53 dB SPL) and four signal-to-noise ratios (SNR) (15, 10, 5, and 0 dB). In this study, the nine lists were tested for equivalency and the test-retest reliability was determined. Twenty listeners with normal hearing and 20 listeners with sloping sensorineural hearing losses served as subjects. Five sentences were presented at each SNR at each level, and five key words in each sentence were scored (100 key words per presentation level). Each key word was scored as correct or incorrect, with errors of plurality scored as half-correct words. For percent-correct scores, Lists 1, 2, and 9 and Lists 3, 4, and 5 were found to be equivalent for listeners with normal hearing. For both groups of listeners, the test-retest correlations were high, and the critical differences appropriate for sentence material were 10 to 16% at a .95 level of confidence. Because of floor and ceiling effects across the different lists, many subjects with normal hearing did not score as low as the 50% level, and many subjects with hearing loss did not score as high as 50%. Suggestions are offered for alternate scoring in order to obtain a SNR for 50% performance. Future versions of this test should be designed with improved list equivalency and 50% performance capability.
噪声环境下言语（SIN）测试由一系列电气和电子工程师协会的句子组成，这些句子以四个说话者的嘈杂声为背景，在两个呈现水平（83和53 dB声压级）和四个信噪比（SNR）（15、10、5和0 dB）下呈现。在本研究中，对九个列表进行了等效性测试，并确定了重测信度。20名听力正常的听众和20名患有倾斜性感音神经性听力损失的听众作为受试者。在每个水平的每个信噪比下呈现五个句子，并对每个句子中的五个关键词进行评分（每个呈现水平100个关键词）。每个关键词被评为正确或错误，多个错误被评为半正确单词。对于正确百分比得分，发现列表1、2和9以及列表3、4和5对于听力正常的听众是等效的。对于两组听众，重测相关性都很高，在0.95置信水平下，适合句子材料的临界差异为10%至16%。由于不同列表中的地板效应和天花板效应，许多听力正常的受试者得分没有低至50%水平，许多听力损失的受试者得分没有高至50%。为了获得50%表现的信噪比，提供了替代评分的建议。该测试的未来版本应设计为具有改进的列表等效性和50%的表现能力。
