Danhauer J L, Sahley T L, Abdala C
Department of Speech and Hearing Sciences, University of California Santa Barbara 93106.
J Aud Res. 1986 Jul;26(3):167-75.
Pure-tone thresholds (PTTs) and phonemic-scored responses to the Edgerton and Danhauer (1979) Nonsense Syllable Test (NST) at 25, 35, 45, and 55 db SL re each S's SRT, were taken from 97 Ss of 4 earlier studies of Danhauer and colleagues. All studies had used the same stimuli and procedures. Among the 97 Ss were heterogeneous subpopulations of normally-hearing and sensorineural hearing-impaired Ss, aged 6-81 yrs. PTTs at octaves from .25-8 kc/s, singly and in various weighted combinations, were explored by step-wise multiple linear regression analyses for the best equation to predict an individual's NST score at each SL. Included were the two weighted PTT averages (over .5, 1, and 2 kc/s) proposed by Butts, Schoney and Ruth (Asha, 1984, 26, 64). PTT2 kc/s was the single most predictive datum. The most predictive equation at one NST SL was not necessarily the best at another SL. At each NST SL, the most predictive equation was always one or other of the equations of Butts et al, and at the higher levels the best equations incorporated in addition certain weighted PTTs at .5 and 1 kc/s. The results indicated that it is possible to predict a S's NST scores from PTTs with reasonable accuracy: from 86-91% of Ss' NST scores were predicted within +/- 10%. Further validation and refinement of these models on larger and different subject samples may result in equations predicting NST scores from PTTs with those difficult-to-test patients in whom speech recognition capacity cannot well be tested directly.
纯音听阈（PTTs）以及对埃杰顿和丹豪尔（1979年）无意义音节测试（NST）在以每个受试者的言语接受阈（SRT）为基准的25、35、45和55分贝感觉级（dB SL）下的音素评分反应，取自丹豪尔及其同事早期四项研究中的97名受试者。所有研究都使用了相同的刺激和程序。在这97名受试者中，有年龄在6至81岁之间的听力正常和感音神经性听力受损的异质子群体。通过逐步多元线性回归分析，对从0.25至8千赫（kc/s）的倍频程纯音听阈进行单独以及各种加权组合分析，以找出预测每个感觉级下个体NST分数的最佳方程。其中包括巴茨、肖尼和鲁思提出的两个加权纯音听阈平均值（超过0.5、1和2千赫）（《美国言语 - 语言 - 听力协会会刊》，1984年，第26卷，第64页）。2千赫处的纯音听阈是最具预测性的单一数据。在一个NST感觉级下最具预测性的方程不一定在另一个感觉级下也是最佳的。在每个NST感觉级下，最具预测性的方程总是巴茨等人的方程中的一个或另一个，在较高感觉级时，最佳方程还额外纳入了0.5和1千赫处的某些加权纯音听阈。结果表明，从纯音听阈预测受试者的NST分数具有合理的准确性：86%至91%的受试者NST分数在±10%的范围内被预测出来。在更大且不同的受试者样本上对这些模型进行进一步验证和完善，可能会得出能从纯音听阈预测NST分数的方程，用于那些难以直接测试言语识别能力的患者。
