PubMed · 9843610
Can children with language impairment be accurately identified using temporal processing measures? A simulation study.
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.
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X Zhang, J B Tomblin. 1998. Can children with language impairment be accurately identified using temporal processing measures? A simulation study.. https://doi.org/10.1006/brln.1998.1999
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