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Children's Compensations for Poorly Automated Reading Skills

Bibliographic Data

ID11273072
AuthorsJeffrey J Walczyk (Louisiana Tech University, corresponding author), Cheryl S Marsiglia (Louisiana Tech University), Amanda K Johns (Louisiana Tech University), Keli S Bryan (Rutgers, the State University of New Jersey)
Year2004
Volume37
Issue1
Pages47-66
Publication date2004-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueDiscourse Processes (JOURNAL)
Journal identifiersISSN: 0163-853X • E-ISSN: 1532-6950
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1207/s15326950dp3701_3
OpenAlexW2064788810
LanguageEN
Citations received9
References cited36

The compensatory-encoding model (CEM) postulates that readers whose decoding of words or verbal working memory capacities is inefficient can compensate so that literal comprehension of text is not deleteriously affected. However, the use of compensations may draw cognitive resources away from higher level reading activities such as comprehension monitoring. The model was tested in 3rd graders who were recorded as they read aloud texts containing embedded anomalies. Literal comprehension was assessed. The efficiency of the decoding of words, the semantic encoding of words, and verbal working memory were measured. Consistent with the model, inefficient readers compensated by pausing, looking back, rereading, and sounding out words more often than efficient readers but had literal comprehension scores as good as those of efficient readers

Cognition · Cognitive psychology · Comprehension · Decoding methods · Encoding (memory · Linguistics · Literal (mathematical logic · Natural language processing · Programming language · Reading (process · Reading comprehension · Working memory · Computer Science · Psychology · Reading and Literacy Development · Text Readability and Simplification · Writing and Handwriting Education · Artificial Intelligence

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Unique citing works9
Citations per year0,5
Citation span2008 - 2026 (19)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 8

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