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Krueger, Breanna I.; Storkel, Holly L. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: The purpose of this study was to examine whether children's identification of misarticulated words as real objects was influenced by an inherent bias toward selecting real objects or whether a change in experimental conditions could impact children's selections. Method: Forty preschool children aged 4 years 0 months to 6 years 11 months…
Descriptors: Preschool Children, Articulation (Speech), Word Recognition, Responses
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Siew, Cynthia S. Q.; Vitevitch, Michael S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Network science uses mathematical techniques to study complex systems such as the phonological lexicon (Vitevitch, 2008). The phonological network consists of a "giant component" (the largest connected component of the network) and "lexical islands" (smaller groups of words that are connected to each other, but not to the giant…
Descriptors: Speech Communication, Experimental Psychology, Recall (Psychology), Word Recognition
Chiu, Y. D. – Remedial and Special Education, 2018
We assessed the simple view of reading as a framework for Grade 3 reading comprehension in two ways. We first confirmed that a structural equation model in which word recognition, listening comprehension, and reading comprehension were assessed by multiple measures to inform each latent construct provided an adequate fit to this model in Grade 3.…
Descriptors: Reading Instruction, Reading Comprehension, Grade 3, Word Recognition
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Chan, Kit Ying; Vitevitch, Michael S. – Journal of Experimental Psychology: Human Perception and Performance, 2009
Clustering coefficient--a measure derived from the new science of networks--refers to the proportion of phonological neighbors of a target word that are also neighbors of each other. Consider the words "bat", "hat", and "can", all of which are neighbors of the word "cat"; the words "bat" and…
Descriptors: Word Recognition, Speech, Phonology, Language Processing