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首页> 外文期刊>Journal of speech, language, and hearing research: JSLHR >Rasch analysis of word identification and magnitude estimation scaling responses in measuring naive listeners' judgments of speech intelligibility of children with severe-to-profound hearing impairments.
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Rasch analysis of word identification and magnitude estimation scaling responses in measuring naive listeners' judgments of speech intelligibility of children with severe-to-profound hearing impairments.

机译:Rasch分析单词识别和幅度估计缩放响应,以评估幼稚听众对严重至深重听力障碍儿童的语音清晰度的判断。

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PURPOSE: Speech intelligibility research typically relies on traditional evidence of reliability and validity. This investigation used Rasch analysis to enhance understanding of the functioning and meaning of scores obtained with 2 commonly used procedures: word identification (WI) and magnitude estimation scaling (MES). METHOD: Narrative samples of children with hearing impairments were used to collect data from listeners with no previous experience listening to or judging intelligibility of speech. WI data were analyzed with the Rasch rating scale model. MES data were examined with Rasch partial credit model when individual scales were unknown, and the Rasch rating scale model was used with reported individual scales. RESULTS: Results indicated that both procedures have high reliability and similar discriminatory power. However, reliability and separation were lower for MES when scales were unknown. Both procedures yielded similar speech sample ordering by their difficulty. However, sampling gaps were noted as well as item misfit issues. CONCLUSIONS: Functioning wise, both WI and MES procedures were highly reliable in measuring speech intelligibility, and measurement precision may be increased by asking participants to report their individual scales when using MES. Meaning wise, operationalization of speech intelligibility did not change when either WI or MES procedure was used. However, the sample selection procedure needs to be further refined to allow for a wider selection of stimuli.
机译:目的:语音清晰度研究通常依赖于可靠性和有效性的传统证据。这项研究使用Rasch分析来增强对通过2种常用过程获得的分数的功能和含义的理解:单词识别(WI)和大小估计比例(MES)。方法:使用听觉障碍儿童的叙述性样本从没有听或判断语音清晰度的经验的听众那里收集数据。 WI数据用Rasch评级量表模型进行了分析。当单个量表未知时,用Rasch部分信用模型检查MES数据,并使用Rasch评级量表模型与报告的单个量表进行比较。结果:结果表明这两种方法均具有较高的可靠性和相似的鉴别力。但是,当量表未知时,MES的可靠性和分离度较低。两种方法由于其难度而产生相似的语音样本排序。但是,注意到了抽样差距以及项目不匹配问题。结论:在功能上,WI和MES程序在测量语音清晰度方面均非常可靠,通过要求参与者报告使用MES时的个人音阶,可以提高测量精度。明智的做法是,无论使用WI还是MES程序,语音清晰度的可操作性都不会改变。但是,样本选择程序需要进一步完善,以允许更广泛的刺激选择。

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