logisticregression

The utilization of speech materials in audiological assessments has faced challenges due to a lack of standardization and insufficient consideration of acoustic factors. This study aimed to develop a set of psychometrically validated monosyllabic and disyllabic words in Persian for use in auditory tests.

This cross-sectional study involved collecting the most frequently used one- and two-syllable words from Persian dictionaries. A panel of experts evaluated the selected words using a 4-point Likert scale. Based on their recommendations, 382 monosyllabic words and 150 disyllabic words met the established criteria. Male and female talkers recorded these words, which were then presented in a random order to 30 young adults with normal hearing (aged 18–30 years). The presentation intensity levels ranged from 0 to 48 dB HL with 8 dB increments. Logistic regression was used to determine the psychometric properties of the words.

As the intensity level increased, the percentage of word recognition scores also increased, reaching 100% at an intensity level of 48 dB HL. For Persian monosyllabic words, the mean psychometric slope was 0.29 %/dB for male talkers and 0.25 %/dB for female talkers. The corresponding slopes for Persian disyllabic words were 0.23 %/dB and 0.21 %/dB, respectively.

This study successfully developed 382 monosyllabic words and 150 disyllabic words in Persian with comparable psychometric properties. These words can be utilized in auditory tests for Iranian adults.