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Carla Wood; Miguel Garcia-Salas; Christopher Schatschneider – Grantee Submission, 2023
Purpose: The aim of this study was to advance the analysis of written language transcripts by validating an automated scoring procedure using an automated open-access tool for calculating morphological complexity (MC) from written transcripts. Method: The MC of words in 146 written responses of students in fifth grade was assessed using two…
Descriptors: Automation, Computer Assisted Testing, Scoring, Computation
Huang, Xin; Lin, Dan; Yang, Yiming; Xu, Yuhang; Chen, Qingrong; Tanenhaus, Michael K. – Scientific Studies of Reading, 2021
While recent studies find that contextual diversity (CD) is a better determinant of visual word recognition than token frequency, there is a dearth of work comparing contextual diversity and token frequency in developing readers. In two sets of character and lexical decision experiments we examined token frequency and contextual diversity effects…
Descriptors: Orthographic Symbols, Word Recognition, Context Effect, Word Frequency