Abou-Elsaad Tamer, Baz Hemmat, El-Banna Manal
Phoniatric Unit, ORL Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Folia Phoniatr Logop. 2009;61(5):275-82. doi: 10.1159/000235650. Epub 2009 Aug 20.
The aim of this study was to develop an Arabic articulation test using familiar and visually transparent words in order to be used as a criterion for comparing phonemes of both normal and phonologically disordered Arabic-speaking children.
A picture-naming test was designed for the Mansoura Arabic Articulation Test (MAAT) to elicit spontaneous single-word responses representing all possible consonant positions and vowels of Colloquial Egyptian Arabic. Three expert phoniatricians were asked to review MAAT and complete a questionnaire. The MAAT was presented to 100 normal Arabic-speaking Egyptian children randomly selected from the first- and second-grade kindergarten. They were 52 males and 48 females with ages ranging between 42 and 70 months. Children's responses were converted to a percent correct score for sound utterances and picture identification.
Statistically non-significant differences were found among experts' opinions reflecting approval for the MAAT items. A statistically highly significant adequate correlation was found between correct word utterances and picture identification which proved the content validity of MAAT. Test-retest reliability proved the consistency of MAAT.
MAAT is a valid and reliable test that can be applied to collect the phonetic inventory of Arabic-speaking young children.
本研究的目的是开发一种使用熟悉且视觉上清晰易懂的单词的阿拉伯语发音测试，以便用作比较正常和语音紊乱的阿拉伯语儿童音素的标准。
为曼苏拉阿拉伯语发音测试（MAAT）设计了一项图片命名测试，以引出代表埃及口语阿拉伯语所有可能辅音位置和元音的自发单字反应。邀请三位专家语音病理学家对MAAT进行审查并完成一份问卷。MAAT被呈现给从幼儿园一、二年级随机挑选的100名讲阿拉伯语的正常埃及儿童。他们中有52名男性和48名女性，年龄在42至70个月之间。儿童的反应被转换为语音发音和图片识别的正确得分百分比。
专家意见之间在统计学上无显著差异，这反映了对MAAT项目的认可。在正确的单词发音和图片识别之间发现了统计学上高度显著的充分相关性，这证明了MAAT的内容效度。重测信度证明了MAAT的一致性。
MAAT是一种有效且可靠的测试，可用于收集讲阿拉伯语幼儿的语音清单。
