Abstract

The purpose of this study was to develop, digitally record, evaluate, and psychometrically equate a set of Arabic monosyllabic word lists to use in the measurement of the word recognition score. Familiar Arabic monosyllabic words were digitally recorded by a native male talker from Jordan who was judged to have a standard Arabic dialect. Twenty native Arabic participants with normal hearing were used as subjects to determine the percentage of correct word recognition for each word at 10 intensity levels ranging from -5 to 40 dB HL in 5 dB increments. The monosyllabic word data were analyzed using logistic regression. The words producing the steepest psychometric function were included in the final word lists. Four lists of 50 words each were created and eight half-lists (25 words each) were created from the four lists. A Chi-square analysis was performed, revealing no statistical differences among the lists and half-lists. The mean monosyllabic psychometric function slopes at 50% for lists and half-lists were 4.8%/dB.

Degree

College and Department

David O. McKay School of Education; Communication Disorders

Rights

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