Distribution characteristics of normal pure-tone thresholds.
Distribution characteristics of normal pure-tone thresholds.
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DOI：
10.3109/14992027.2015.1033656
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发表时间：
2015
影响因子：
2.7
通讯作者：
Saly GL
中科院分区：
文献类型：
--
作者：
Margolis RH;Wilson RH;Popelka GR;Eikelboom RH;Swanepoel de W;Saly GL
本研究检查了自动和手动测听获得的正常气导阈值的统计特性，以检验阈值呈正态分布的假设，并检查手动测试中偏倚证据的分布。对四个数据库进行正常阈值挖掘。一个包含用自动方法获得的听力图。其他三个是通过手动测听获得的。检查了四种测试频率（250、500、1000和2000 Hz）的频率分布。该分析基于来自四个临床数据库的80，547名受试者的317，569个阈值测定。用自动测听法测得的听阈频率分布呈正态分布。经年龄校正后，平均阈值在参考等效阈值声压级的1.5 dB范围内。通过手动测听获得的阈值的频率分布向更高的阈值移动。通过手动测听获得的三个数据集中的两个是正偏斜的。手动测听数据的正向偏移和偏斜可能是由测试仪偏倚引起的。低于0 dB HL的阈值的显著稀缺性表明，听力学家对识别低阈值的重视程度低于对高水平阈值的重视程度。我们称之为足够好的偏见，并建议它可能是负责自动和手动测听获得的阈值分布的差异。
This study examined the statistical properties of normal air-conduction thresholds obtained with automated and manual audiometry to test the hypothesis that thresholds are normally distributed and to examine the distributions for evidence of bias in manual testing. Four databases were mined for normal thresholds. One contained audiograms obtained with an automated method. The other three were obtained with manual audiometry. Frequency distributions were examined for four test frequencies (250, 500, 1000, and 2000 Hz). The analysis is based on 317,569 threshold determinations of 80,547 subjects from four clinical databases. Frequency distributions of thresholds obtained with automated audiometry are normal in form. Corrected for age, the mean thresholds are within 1.5 dB of Reference Equivalent Threshold Sound Pressure Levels. Frequency distributions of thresholds obtained by manual audiometry are shifted toward higher thresholds. Two of the three datasets obtained by manual audiometry are positively skewed. The positive shift and skew of the manual audiometry data may result from tester bias. The striking scarcity of thresholds below 0 dB HL suggests that audiologists place less importance on identifying low thresholds than they do for higher-level thresholds. We refer to this as the Good Enough Bias and suggest that it may be responsible for differences in distributions of thresholds obtained by automated and manual audiometry.