Journal article
Can children with language impairment be accurately identified using temporal processing measures? A simulation study
Brain and language, Vol.65(3), pp.395-403
12/1998
DOI: 10.1006/brln.1998.1999
PMID: 9843610
Abstract
Three simulation experiments were conducted to determine the basis of the high predictive accuracy (98%) of temporal processing variables for the identification of language impairment obtained by Tallal, Stark, and Mellits (1985). In the first two experiments, the stepwise discriminant analysis using a set of 160 arrays of random numbers to predict a dichotomous language status (either normal or disordered) resulted in an average accuracy rate of 86.3% in contrast with the 98% rate obtained by Tallal, Stark, and Mellits. The third experiment showed that a 95% accuracy rate could be obtained from an array of 160 variables that each may only account for about 1.5% variance in the language ability. These results emphasize the need for confirmatory studies when large data sets are used to identify a small set of predictor variables.
Details
- Title: Subtitle
- Can children with language impairment be accurately identified using temporal processing measures? A simulation study
- Creators
- Xuyang Zhang - The University of Iowa, Department of Speech and Pathology, Iowa City, 52242, USA. suyang-zhang@uiowa.eduJ Bruce Tomblin
- Resource Type
- Journal article
- Publication Details
- Brain and language, Vol.65(3), pp.395-403
- Publisher
- Netherlands
- DOI
- 10.1006/brln.1998.1999
- PMID
- 9843610
- ISSN
- 0093-934X
- eISSN
- 1090-2155
- Language
- English
- Date published
- 12/1998
- Academic Unit
- Communication Sciences and Disorders; Iowa Neuroscience Institute
- Record Identifier
- 9984070507402771
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