Rapid Automatized Naming (RAN) and Reading with Deaf Students Using American Sign Language (ASL)

Abstract

This study was an investigation of the relationship between rapid automatized naming (RAN) and reading in a sample of deaf and hard of hearing (DHH) students who use American Sign Language (ASL). Thirty DHH students, 10 to 18 years old, were given a series of assessments including measures of RAN, reading decoding, reading fluency, reading comprehension, expressive vocabulary, receptive vocabulary, and visual-motor integration. Significant correlations were found between RAN colors and reading decoding; RAN colors and reading comprehension; and RAN colors, numbers, and letters and reading fluency. A significant difference was found between symbolic (letters, numbers) and non-symbolic (objects, colors) RAN in this sample, with better performance noted on tasks of symbolic RAN. Hierarchical regression models were created for each type of RAN. Each model as a whole was significant. The proposed model for RAN objects accounted for 26.6% of the variance in RAN performance. The model for RAN colors accounted for 54.1% of the variance in RAN performance. The proposed model for RAN numbers accounted for 53% of the variance in RAN. The model for RAN letters accounted for 32.6% of the variance in RAN. Across all models, reading fluency and vocabulary were unique and statistically significant contributors in the model predicting RAN. Visual-motor integration performance was not a unique contributor to the model.