Suppr超能文献

空间化噪声句子听力测试(LISN-S):重测信度研究

The listening in spatialized noise-sentences test (LISN-S): test-retest reliability study.

作者信息

Cameron Sharon, Dillon Harvey

机构信息

National Acoustic Laboratories, Chatswood, NSW, Australia.

出版信息

Int J Audiol. 2007 Mar;46(3):145-53. doi: 10.1080/14992020601164170.

Abstract

The objective of the study was to collect data on the Listening in Spatialized Noise - Sentences Test (LISN-S(R); Cameron & Dillon, 2006) from a group of children with normal hearing, over two test sessions, to determine test-retest reliability. The LISN-S produces a three-dimensional auditory environment under headphones, and is presented using a personal computer. Speech reception threshold (SRT) is determined for target sentences presented in competing speech that is manipulated in respect to location (0 degrees versus+/-90 degrees azimuth) and/or the vocal identity of the speaker/s of the stories (same as, or different to, the speaker of the target sentences). Forty-six children aged five to eleven years took part in the study. Mean changes in performance on retest on the LISN-S conditions and advantage measures ranged from 0.1 dB to 1.1 dB. Reliability (r) ranged from 0.3 to 0.8. All correlations were significant (p < 0.05). Across the range of performance measures, critical differences for test score improvements ranged from 2.5 dB to 4.4 dB, making this test suitable for detecting improvements in performance in an individual child diagnosed with central auditory processing disorder following a period of auditory compensation (such as an FM system), or training.

摘要

该研究的目的是在两个测试阶段收集一组听力正常儿童在空间噪声中的句子听力测试(LISN-S(R);Cameron & Dillon,2006)的数据,以确定重测信度。LISN-S在耳机下产生三维听觉环境,并通过个人电脑呈现。针对在竞争语音中呈现的目标句子确定言语接受阈(SRT),竞争语音在位置(0度与±90度方位角)和/或故事讲述者的声音特征(与目标句子的讲述者相同或不同)方面进行了操控。46名5至11岁的儿童参与了该研究。在LISN-S条件和优势测量的重测中,表现的平均变化范围为0.1分贝至1.1分贝。信度(r)范围为0.3至0.8。所有相关性均具有显著性(p < 0.05)。在一系列表现测量中,测试分数提高的临界差异范围为2.5分贝至4.4分贝,这使得该测试适用于检测在经过一段时间的听觉补偿(如调频系统)或训练后被诊断为中枢听觉处理障碍的个体儿童的表现改善情况。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验