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Journal of Memory and Language
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Visual multi-element processing as a pre-reading predictor of decoding skill

Authors: Onochie Quintanilla, Chukwuemeka Eduardo; Defior Citoler, Sylvia Ana; Simpson, Ian Craig;

Visual multi-element processing as a pre-reading predictor of decoding skill

Abstract

Abstract A lack of longitudinal studies impedes the understanding of whether visual processing skills significantly influence reading performance. The present study assessed if multi-element processing (MEP), a visual processing task comprising only non-verbal stimuli, was predominantly related with decoding or sight-word reading. One hundred Spanish pre-reading children were evaluated on their MEP, naming speed (RAN), phonemic awareness (PA), letter knowledge (LK) and IQ. Early reading level was measured in first grade. In third grade, four reading lists consisting of short and long, high- and low-frequency words were administered. Results from path analyses revealed that, after controlling for RAN, PA, LK, IQ and early reading level, MEP was a significant predictor of the reading of long low-frequency words only. This result suggests that, in the transparent Spanish orthography, pre-reading MEP is significantly linked to future decoding skill. This is the first study to provide empirical evidence that pre-reading MEP predicts future reading.

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Spain
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Top 10%
Top 10%
Green