Lee Gary Jek Chong, Lee Steven Lock Hey
Audiology, Ng Teng Fong General Hospital, Singapore.
Temasek Skillsfuture Academy, Temasek Polytechnic, Singapore.
World J Otorhinolaryngol Head Neck Surg. 2020 Jul 23;7(3):247-256. doi: 10.1016/j.wjorl.2020.02.011. eCollection 2021 Jul.
The aim of this study is to develop and evaluate a set of psychometrically equivalent disyllabic wordlist (SC-10) in Singapore Mandarin for clinical use.
A preliminary set of 1000 words were obtained from a dictionary of frequently used words by Singapore students. Ten native judges rate the familiarity level of each word. This is followed by a face-to-face public survey to rank the shortlisted word set from most to least familiar. The final 108 disyllabic words were recorded by a native female talker. 20 normal hearing subjects were used to obtain the percentage of correct word recognition at 24 intensity levels (-10 dB HL to 26 dB HL in 2 dB increment). Psychometric function slopes were calculated for each word. 100 words were eventually chosen and assigned into ten 10-word lists based on a psychometric balancing protocol. Minor digital adjustments were made to the intensity of each wordlist to improve their auditory homogeneity.The developed SC-10 wordlists were validated by a separate group of 25 normal hearing subjects. Test-retest reliability was carried out on 20 out of 25 participants at the selected intensity levels (SRT-5, SRT, SRT+5).
The calculated regression slopes in the psychometric functions for the ten lists are between 8.0 and 9.8%/dB. Single factor ANOVA analysis showed no significant difference in both the mean intensity required to obtain 50% recognition score ( = 0.109, = 9, = 0.999) and the slopes of the psychometric functions ( = 0.078, = 9, = 0.999) between the ten word lists. List validation on 25 normal hearing participants (PTA = 11.0 dB HL, = 4.3) showed a mean speech recognition threshold (SRT) of 9.3 dB HL ( = 3.5)and regression slope of 8.395%/dB. Quadratic regression analysis showed a positive correlation ( = 0.923) between presentation level and word recognition score (WRS). The difference between PTA and SRT of each subject all fall within the clinically acceptable difference of 10 dB HL. Test-retest reliability, carried out on 20 subjects at three levels (SRT-5, SRT, and SRT+5 dB), showed no significance difference between word recognition score when the same participant is tested again at the same intensity level using a different wordlist.
All in all, it shows that the SC-10 speech materials are valid for clinical use for Mandarin speech audiometry in Singapore.
本研究旨在开发并评估一套在新加坡华语中具有心理测量等效性的双音节词表（SC - 10）以供临床使用。
从新加坡学生常用词汇字典中获取了初步的1000个单词。十位母语评判员对每个单词的熟悉程度进行评分。随后进行了一项面对面的公众调查，将入围的单词集按熟悉程度从高到低进行排序。最终的108个双音节词由一位母语为女性的说话者录制。20名听力正常的受试者在24个强度水平（从 - 10 dB HL到26 dB HL，以2 dB递增）下用于获取正确单词识别的百分比。计算每个单词的心理测量函数斜率。最终根据心理测量平衡方案选择了100个单词，并将其分成十个包含10个单词的词表。对每个词表的强度进行了微小的数字调整，以提高其听觉同质性。所开发的SC - 10词表由另一组25名听力正常的受试者进行验证。在选定的强度水平（SRT - 5、SRT、SRT + 5）下，对25名参与者中的20名进行了重测信度测试。
十个词表的心理测量函数中计算出的回归斜率在8.0%/dB至9.8%/dB之间。单因素方差分析表明，在获得50%识别分数所需的平均强度（F = 0.109，df = 9，p = 0.999）以及心理测量函数的斜率（F = 0.078，df = 9，p = 0.999）方面，十个词表之间没有显著差异。对25名听力正常的参与者（PTA = 11.0 dB HL，SD = 4.3）进行的词表验证显示，平均言语识别阈值（SRT）为9.3 dB HL（SD = 3.5），回归斜率为8.395%/dB。二次回归分析表明，呈现水平与单词识别分数（WRS）之间存在正相关（r = 0.923）。每个受试者的PTA与SRT之间的差异均落在临床上可接受的10 dB HL差异范围内。在三个水平（SRT - 5、SRT和SRT + 5 dB）对20名受试者进行的重测信度测试表明，当同一受试者在相同强度水平使用不同词表再次测试时，单词识别分数之间没有显著差异。
总体而言，这表明SC - 10语音材料在新加坡用于华语言语测听的临床应用中是有效的。
