Evidence map›Paper›PMID 38981331›Full record

ArticleJournal of experimental child psychology2024

Modeling item-level variance of polysyllabic word reading in developing readers: Exploring semantically related child, word, and child-by-word predictors.

Madison G Kellenberger, Laura M Steacy, Matthew J Cooper Borkenhagen, Jordan Dozier, Donald L Compton

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Article in Journal of experimental child psychology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Madison G KellenbergerFlorida Center for Reading Research, Florida State University, Tallahassee, FL 32310, USA. Electronic address: mkellenberger@fsu.edu.
Laura M SteacyFlorida Center for Reading Research, Florida State University, Tallahassee, FL 32310, USA.
Matthew J Cooper BorkenhagenFlorida Center for Reading Research, Florida State University, Tallahassee, FL 32310, USA.
Jordan DozierFlorida Center for Reading Research, Florida State University, Tallahassee, FL 32310, USA.
Donald L ComptonFlorida Center for Reading Research, Florida State University, Tallahassee, FL 32310, USA.

Funding

Experiential and child factors that determine acquisition of orthographic-phonological regularities in a quasi-regular writing system: An integrated behavioral/computational/neurobiological approachP20HD091013 · NICHD · FLORIDA STATE UNIVERSITY · PI COMPTON, DONALD L · 2017 to 2025
$4.2M
Understanding the underlying relation between phonological clean-up ability and early word reading: A developmental explorationR21HD108771 · NICHD · FLORIDA STATE UNIVERSITY · PI STEACY, LAURA · 2022 to 2023
$424k
NICHD NIH HHS P20 HD091013NICHD NIH HHS R21 HD108771
6 · The paper itself

Abstract

Across word reading development, there are important and evolving relationships between oral and written semantic knowledge. Recent research has focused on these relationships, with accumulating evidence supporting the role of word knowledge and related word characteristics as important factors influencing polysyllabic word reading abilities. The purpose of this study was to investigate how semantic-related effects across child-level skills (e.g., general vocabulary knowledge), word-level properties (e.g., age of acquisition), child-by-word-level familiarity (e.g., item-level familiarity), and interactions between key child attributes and word characteristics (e.g., word reading skill by age of acquisition) contribute to polysyllabic word reading. Specifically, we emphasize the semantic contributions of word-level features to word reading development, which have been relatively underexplored in the literature. A sample of elementary school students oversampled for word reading difficulty (N = 92) in Grades 3 to 5 read a set of polysyllabic words (J = 45) and completed a battery of reading and language-related measures. Using cross-classified random-effects models and accounting for various control variables, semantic-related variables representing item-level familiarity; child-level set for variability; and word-level age of acquisition and number of morphemes were significant predictors in the main-effects model. A significant interaction between sight word efficiency and age of acquisition indicated higher probabilities of correctly reading polysyllabic words at lower levels of acquisition for better readers. Results indicate important semantic-related influences on polysyllabic word reading at the child, word, and child-by-word levels, suggesting meaningful relationships between knowledge of the orthographic form of a word and semantic knowledge in developing readers.

Indexed as

ReadingSemanticsVocabularyChildChild DevelopmentFemaleHumansMaleRecognition, PsychologyIndividual differencesOral languageReading developmentSemantic knowledgeWord recognition

Identifiers

PMID38981331
PMCPMC11316644

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.