Word Properties Predicting Children’s Word Recognition

Iris Monster*, Agnes Tellings, William J. Burk, Jos Keuning, Eliane Segers, Ludo Verhoeven

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Downloads (Pure)

Abstract

We examined whether word recognition accuracy and latency of words children encounter during primary school across the upper primary school grades can be predicted from word form (word length, mean Levenshtein distance, and mean frequency of neighbors), word meaning (free association network markers) and word exposure (corpus frequency and contextual diversity). As a measure of word recognition, 1454 children (M = 10.1 years, SD = 11.8 months, 52.4% girls) in grade 3, 4 and 5 of Dutch regular primary schools completed a lexical decision task. Confirmatory factor analyses showed that word characteristics could be reduced to latent constructs of form, meaning, and exposure. Structural equation models indicated that word form and exposure predicted word recognition accuracy, and that word recognition accuracy, word form, and word meaning predicted word recognition latency. The present study provided empirical evidence that word form, word meaning, and word exposure differentially predict word recognition accuracy and latency of words children encounter during primary school across the upper primary grades.

Original languageEnglish
Pages (from-to)373-389
Number of pages17
JournalScientific Studies of Reading
Volume26
Issue number5
Early online date4 Jan 2022
DOIs
Publication statusPublished - 3 Sep 2022

Fingerprint

Dive into the research topics of 'Word Properties Predicting Children’s Word Recognition'. Together they form a unique fingerprint.

Cite this