Using Simulations to Investigate the Longitudinal Stability of Alternative Schemes for Classifying and Identifying Children with Reading Disabilities

Scientific Studies of Reading : the Official Journal of the Society for the Scientific Study of Reading
Christopher SchatschneiderElizabeth L Tighe

Abstract

The present study employed data simulation techniques to investigate the one-year stability of alternative classification schemes for identifying children with reading disabilities. Classification schemes investigated include low performance, unexpected low performance, dual-discrepancy, and a rudimentary form of constellation model of reading disabilities that included multiple criteria. Data from Spencer et al. (2014) were used to construct a growth model of reading development. The parameters estimated from this model were then used to construct three simulated datasets wherein the growth parameters were manipulated in one of three ways: A stable-growth pattern, a mastery learning pattern and a fan-spread pattern. Results indicated that overall the constellation model provided the most stable classifications across all conditions of the simulation, and that classification schemes were most stable in the fan-spread condition, and were the least stable under the mastery learning growth pattern. These results also demonstrate the utility of data simulations in reading research.

References

Nov 1, 1985·Exceptional Children·S L Deno
Apr 9, 2005·Journal of Learning Disabilities·David J FrancisSally E Shaywitz
Dec 17, 2008·Learning and Individual Differences·Amy E BarthDavid J Francis
Dec 7, 2011·Journal of Child Psychology and Psychiatry, and Allied Disciplines·Margaret J Snowling, Charles Hulme
Jan 25, 2012·Psychological Methods·Kristopher J Preacher, Edgar C Merkle
Dec 13, 2012·Journal of Learning Disabilities·Lee Branum-MartinKarla K Stuebing
Nov 26, 2014·Learning Disability Quarterly : Journal of the Division for Children with Learning Disabilities·Mercedes SpencerYaacov Petscher
Jan 1, 2012·Structural Equation Modeling : a Multidisciplinary Journal·Paolo Ghisletta, John J McArdle

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Citations

Mar 12, 2016·Scientific Studies of Reading : the Official Journal of the Society for the Scientific Study of Reading·Jason D Zevin, Brett Miller
Nov 4, 2020·The Journal of the Acoustical Society of America·Gabrielle E O'BrienJason D Yeatman

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SAS
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