Development of Mongolian Bisyllabic Word Lists for Speech Audiometric Testing
- VernacularTitle:Үгийн аудиометрийн шинжилгээнд ашиглах Монгол хоёр үет үгийн жагсаалт боловсруулсан нь
- Author:
Baigalmaa O
1
;
Urtnasan D
2
;
Oyunchimeg D
3
;
Junghwa Bahng
4
;
Byambasuren L
1
;
Batzorig B
5
Author Information
1. Department of Otorhinolaryngology, First Central Hospital of Mongolia
2. Institute of Linguistics, Mongolian Academy of Sciences, Mongolia
3. Department of Mathematics, Mongolian National University of Education, Mongolia
4. Department of Audiology and Speech-Language Pathology, Hallym University, South Korea
5. School of Public Health, Mongolian National University of Medical Sciences, Mongolia
- Publication Type:Journal Article
- Keywords:
Speech Recognition Threshold;
Psychometric function;
Logistic regression;
Pure-tone average
- From:
Mongolian Journal of Health Sciences
2026;91(1):150-156
- CountryMongolia
- Language:Mongolian
-
Abstract:
Background:Speech audiometry is a widely used standard diagnostic method in the evaluation of hearing and auditory function. It requires word materials that are developed in the native language of the target population and that reflect its phonetic characteristics. Because the phonetic structure, pronunciation, and familiarity of words directly influence speech recognition, it is essential to use language-specific word lists that are phonetically balanced, uniformly distributed, and psychometrically validated to ensure the accuracy and reliability of testing. Therefore, there is a strong need to develop Mongolian bisyllabic word lists that are balanced in both phonetic and psychometric properties, which forms the basis of this study.
Aim:To develop psychometrically balanced Mongolian bisyllabic word lists for use in speech audiometry and to evaluate their suitability for determining the Speech Recognition Threshold (SRT).
Materials and Methods:Fifty-five commonly used and phonetically balanced Mongolian bisyllabic words were selected and recorded by a professional female speaker. The recordings were presented to 50 normal-hearing participants aged 18–29 years at ten intensity levels ranging from –4 to 14 dB HL in 2-dB steps. Based on participants’ responses, the 50% SRT and the 20–80% slope of the psychometric function for each word were calculated using logistic regression. Chi-square and one-way ANOVA analyses were performed to examine the equivalence between lists. On the basis of these results, two psychometrically balanced half-lists, each containing 25 words, were constructed, and digital level adjustments were applied to ensure uniform intensity.
Result:The slopes of the psychometric functions for the two half-lists ranged from 11.2 to 11.6 %/dB. Chi-square and one-way ANOVA analyses showed no statistically significant differences between the two lists in terms of the 50% SRT and psychometric slope derived from logistic regression [χ²(24, N=50) = 2.21, p = 0.99; F(1,48) = 0.00895, p = 0.925]. The mean pure-tone average (PTA) threshold of the 50 normal-hearing participants was 2.23 dB HL with a standard deviation of 4.4 dB. The difference between PTA and SRT was less than 10 dB HL for all participants, which is within the clinically acceptable range.
Conclusion:The developed Mongolian bisyllabic word lists, consisting of two 25-word sets, are suitable for determining the Speech Recognition Threshold and can be reliably applied in clinical speech audiometry practice.
- Full text:202609261412150427726_Үгийн_аудиометрийн_шинжилгээнд_ашиглах_Монгол_хоёр_үет_үгийн.pdf
