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Word Properties Predicting Children's Word Recognition

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Title: Word Properties Predicting Children's Word Recognition
Language: English
Authors: Monster, Iris (ORCID 0000-0001-6892-2050), Tellings, Agnes, Burk, William J., Keuning, Jos, Segers, Eliane, Verhoeven, Ludo
Source: Scientific Studies of Reading. 2022 26(5):373-389.
Availability: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Peer Reviewed: Y
Page Count: 17
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Elementary Education
Descriptors: Reading Processes, Word Recognition, Predictor Variables, Accuracy, Elementary School Students, Foreign Countries, Semantics
Geographic Terms: Netherlands
DOI: 10.1080/10888438.2021.2020795
ISSN: 1088-8438
1532-799X
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.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1366045
Database: ERIC
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  Data: Word Properties Predicting Children's Word Recognition
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  Data: <searchLink fieldCode="AR" term="%22Monster%2C+Iris%22">Monster, Iris</searchLink> (ORCID <externalLink term="http://orcid.org/0000-0001-6892-2050">0000-0001-6892-2050</externalLink>)<br /><searchLink fieldCode="AR" term="%22Tellings%2C+Agnes%22">Tellings, Agnes</searchLink><br /><searchLink fieldCode="AR" term="%22Burk%2C+William+J%2E%22">Burk, William J.</searchLink><br /><searchLink fieldCode="AR" term="%22Keuning%2C+Jos%22">Keuning, Jos</searchLink><br /><searchLink fieldCode="AR" term="%22Segers%2C+Eliane%22">Segers, Eliane</searchLink><br /><searchLink fieldCode="AR" term="%22Verhoeven%2C+Ludo%22">Verhoeven, Ludo</searchLink>
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  Data: <searchLink fieldCode="SO" term="%22Scientific+Studies+of+Reading%22"><i>Scientific Studies of Reading</i></searchLink>. 2022 26(5):373-389.
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  Data: Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
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  Data: Y
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  Label: Page Count
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  Data: 17
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  Data: 2022
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="EL" term="%22Elementary+Education%22">Elementary Education</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Reading+Processes%22">Reading Processes</searchLink><br /><searchLink fieldCode="DE" term="%22Word+Recognition%22">Word Recognition</searchLink><br /><searchLink fieldCode="DE" term="%22Predictor+Variables%22">Predictor Variables</searchLink><br /><searchLink fieldCode="DE" term="%22Accuracy%22">Accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22Elementary+School+Students%22">Elementary School Students</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Semantics%22">Semantics</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Netherlands%22">Netherlands</searchLink>
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  Data: 10.1080/10888438.2021.2020795
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  Data: 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.
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        Value: 10.1080/10888438.2021.2020795
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      – Text: English
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        PageCount: 17
        StartPage: 373
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        Type: general
      – SubjectFull: Word Recognition
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      – SubjectFull: Predictor Variables
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      – SubjectFull: Accuracy
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      – SubjectFull: Elementary School Students
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Semantics
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      – SubjectFull: Netherlands
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      – TitleFull: Word Properties Predicting Children's Word Recognition
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            NameFull: Monster, Iris
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