The development of a multimedia online language assessment tool for young children with autism

This study aimed to provide early childhood special education professionals with a standardized and comprehensive language assessment tool for the early identification of language learning characteristics (e.g., hyperlexia) of young children with autism. In this study, we used computer technology to develop a multi-media online language assessment tool that presents auditory or visual stimuli. This online comprehensive language assessment consists of six subtests: decoding, homographs, auditory vocabulary comprehension, visual vocabulary comprehension, auditory sentence comprehension, and visual sentence comprehension. Three hundred typically developing children and 35 children with autism from Tao-Yuan County in Taiwan aged 4-6 Participated in this study. The Cronbach alpha values of the six subtests ranged from .64 to .97. The variance explained by the six subtests ranged from 14% to 56%, the current validity of each subtest with the Peabody Picture Vocabulary Test-Revised ranged from .21 to .45, and the predictive validity of each subtest with WISC-III ranged from .47 to .75. This assessment tool was also found to be able to accurately differentiate children with autism up to 92%. These results indicate that this assessment tool has both adequate reliability and validity. Additionally, 35 children with autism have completed the entire assessment in this study without exhibiting any extremely troubling behaviors. However, future research is needed to increase the sample size of both typically developing children and young children with autism and to overcome the technical challenges associated with internet issues. (C) 2013 Elsevier Ltd. All rights reserved.