Literature DB >> 11817889

Word length and orthographic neighborhood size effects in the left and right cerebral hemispheres.

Michal Lavidor1, Andrew W Ellis.   

Abstract

Previous studies have reported an interaction between visual field (VF) and word length such that word recognition is affected more by length in the left VF (LVF) than in the right VF (RVF). A reanalysis showed that the previously reported effects of length were confounded with orthographic neighborhood size (N). In three experiments we manipulated length and N in lateralized lexical decision tasks. Results showed that length and VF interacted even with N controlled (Experiment 1); that N affected responses to words in the LVF but not the RVF (Experiment 2); and that when length and N were combined, length only affected performance in the LVF for words with few neighbors. Copyright 2002 Elsevier Science (USA).

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Mesh:

Year:  2002        PMID: 11817889     DOI: 10.1006/brln.2001.2583

Source DB:  PubMed          Journal:  Brain Lang        ISSN: 0093-934X            Impact factor:   2.381


  5 in total

1.  Word learning and the cerebral hemispheres: from serial to parallel processing of written words.

Authors:  Andrew W Ellis; Roberto Ferreira; Polly Cathles-Hagan; Kathryn Holt; Lisa Jarvis; Laura Barca
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-12-27       Impact factor: 6.237

2.  The role of orthographic neighborhood size effects in Chinese word recognition.

Authors:  Meng-Feng Li; Wei-Chun Lin; Tai-Li Chou; Fu-Ling Yang; Jei-Tun Wu
Journal:  J Psycholinguist Res       Date:  2015-06

3.  Lack of visual field asymmetries for spatial cueing in reading parafoveal Chinese characters.

Authors:  Chunming Luo; Roberto Dell'Acqua; Robert W Proctor; Xingshan Li
Journal:  Psychon Bull Rev       Date:  2015-12

4.  Distinctions between orthographic long-term memory and working memory.

Authors:  Adam Buchwald; Brenda Rapp
Journal:  Cogn Neuropsychol       Date:  2009-12       Impact factor: 2.468

5.  "Serial" effects in parallel models of reading.

Authors:  Ya-Ning Chang; Steve Furber; Stephen Welbourne
Journal:  Cogn Psychol       Date:  2012-02-16       Impact factor: 3.468

  5 in total

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