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Direct linkJustice, Laura M.; Ahn, Woo-Young; Logan, Jessica A. R. – Journal of Learning Disabilities, 2019
In this study, we identified child- and family-level characteristics most strongly associated with clinical identification of language disorder for preschool-aged children. We used machine learning to identify variables that best classified children receiving therapy for language disorder among a sample of 483 3- to 5-year-old children (54%…
Descriptors: Language Impairments, Disability Identification, Clinical Diagnosis, Preschool Children
Callinan, Sarah; Theiler, Stephen; Cunningham, Everarda – Journal of Learning Disabilities, 2015
Traditionally, students with learning disabilities (LD) have been identified using an aptitude--achievement discrepancy or response to intervention approach. As profiles of the cognitive deficits of discrepancy-defined students with LD have already been developed using these approaches, these deficits can in turn be used to identify LD using the…
Descriptors: Learning Disabilities, Disability Identification, Low Achievement, Cognitive Tests
Morlini, Isabella; Stella, Giacomo; Scorza, Maristella – Journal of Learning Disabilities, 2015
Tools for assessing decoding skill in students attending elementary grades are of fundamental importance for guaranteeing an early identification of reading disabled students and reducing both the primary negative effects (on learning) and the secondary negative effects (on the development of the personality) of this disability. This article…
Descriptors: Decoding (Reading), Elementary School Students, Reading Rate, Accuracy
