Psychometrically Equivalent Arabic Monosyllabic Word Recognition Materials
type: CreativeWork
description: 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.
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.
author: Robertson, Maida Christine
language: English
keywords: Arabic, speech audiometry, psychometrically equivalent, word lists, monosyllabic, word recognition score, Communication Sciences and Disorders
date modified: 2026-07-24T01:28:20Z
provider: Brigham Young University
publisher: Networked Digital Library of Theses and Dissertations
type: WebPage
source organization: Brigham Young University - Provo