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Birch, Stacy L. – Journal of Learning Disabilities, 2016
The purpose of the present study was to identify and characterize surface and phonological subgroups of readers among college students with a prior diagnosis of developmental reading disability (RD). Using a speeded naming task derived from Castles and Coltheart's subtyping study, we identified subgroups of readers from among college students with…
Descriptors: College Students, Reading Difficulties, Incidence, Profiles
Hintz, Florian; Jongman, Suzanne R.; Dijkhuis, Marjolijn; van 't Hoff, Vera; McQueen, James M.; Meyer, Antje S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Lexical access is a core component of word processing. In order to produce or comprehend a word, language users must access word forms in their mental lexicon. However, despite its involvement in both tasks, previous research has often studied lexical access in either production or comprehension alone. Therefore, it is unknown to which extent…
Descriptors: Individual Differences, Language Processing, Vocabulary Skills, Language Usage
Jones, Manon W.; Snowling, Margaret J.; Moll, Kristina – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Reading fluency is often predicted by rapid automatized naming (RAN) speed, which as the name implies, measures the automaticity with which familiar stimuli (e.g., letters) can be retrieved and named. Readers with dyslexia are considered to have less "automatized" access to lexical information, reflected in longer RAN times compared with…
Descriptors: Reading Fluency, Dyslexia, Interference (Learning), Color

Vernon, Philip A. – Intelligence, 1986
Ruchalla, Schalt, and Vogel (1985) reported a negative correlation between the g-loadness of intelligence subtests and the extent to which the subtests correlated with reaction times. Possible methodological problems with Ruchalla et al. are described, and results of two other studies pertinent to the issue are discussed. (Author/LMO)
Descriptors: College Students, Correlation, Higher Education, Intelligence Tests