NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kruk, Richard S.; Luther Ruban, Cassia – Journal of Learning Disabilities, 2018
Visual processes in Grade 1 were examined for their predictive influences in nonalphanumeric and alphanumeric rapid naming (RAN) in 51 poor early and 69 typical readers. In a lagged design, children were followed longitudinally from Grade 1 to Grade 3 over 5 testing occasions. RAN outcomes in early Grade 2 were predicted by speeded and nonspeeded…
Descriptors: Naming, Reading Difficulties, Grade 1, Grade 2
Peer reviewed Peer reviewed
Direct linkDirect link
Peterson, Robin L.; Boada, Richard; McGrath, Lauren M.; Willcutt, Erik G.; Olson, Richard K.; Pennington, Bruce F. – Journal of Learning Disabilities, 2017
The current study tested a multiple-cognitive predictor model of word reading, math ability, and attention in a community-based sample of twins ages 8 to 16 years (N = 636). The objective was to identify cognitive predictors unique to each skill domain as well as cognitive predictors shared among skills that could help explain their overlap and…
Descriptors: Twins, Children, Adolescents, Predictor Variables
Seaton, Marjorie; Marsh, Herbert W.; Parker, Philip D.; Craven, Rhonda G.; Yeung, Alexander S. – Gifted Child Quarterly, 2015
The reciprocal effects model (REM) predicts a reciprocal relation between academic self-concept and academic achievement, whereby prior academic self-concept is associated with future gains in achievement, and prior achievement is related to subsequent academic self-concept. Although research in this area has been extensive, there has been a…
Descriptors: Correlation, Self Concept, Academic Achievement, Selective Admission
Peer reviewed Peer reviewed
Direct linkDirect link
King, Wayne M.; Giess, Sally A.; Lombardino, Linda J. – International Journal of Language & Communication Disorders, 2007
Background: The marked degree of heterogeneity in persons with developmental dyslexia has motivated the investigation of possible subtypes. Attempts have proceeded both from theoretical models of reading and the application of unsupervised learning (clustering) methods. Previous cluster analyses of data obtained from persons with reading…
Descriptors: Statistical Analysis, Reading Difficulties, Models, Databases