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Orthographic and phonological neighborhood effects in handwritten word perception

Overview of attention for article published in Psychonomic Bulletin & Review, August 2015
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Title
Orthographic and phonological neighborhood effects in handwritten word perception
Published in
Psychonomic Bulletin & Review, August 2015
DOI 10.3758/s13423-015-0846-z
Pubmed ID
Authors

Anthony S. Barnhart, Stephen D. Goldinger

Abstract

In printed-word perception, the orthographic neighborhood effect (i.e., faster recognition of words with more neighbors) has considerable theoretical importance, because it implicates great interactivity in lexical access. Mulatti, Reynolds, and Besner Journal of Experimental Psychology: Human Perception and Performance, 32, 799-810 (2006) questioned the validity of orthographic neighborhood effects, suggesting that they reflect a confound with phonological neighborhood density. They reported that, when phonological density is controlled, orthographic neighborhood effects vanish. Conversely, phonological neighborhood effects were still evident even when controlling for orthographic neighborhood density. The present study was a replication and extension of Mulatti et al. (2006), with words presented in four different formats (computer-generated print and cursive, and handwritten print and cursive). The results from Mulatti et al. (2006) were replicated with computer-generated stimuli, but were reversed with natural stimuli. These results suggest that, when ambiguity is introduced at the level of individual letters, top-down influences from lexical neighbors are increased.

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Geographical breakdown

Country Count As %
United States 1 5%
Unknown 20 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Professor 2 10%
Lecturer > Senior Lecturer 1 5%
Student > Bachelor 1 5%
Student > Master 1 5%
Other 2 10%
Unknown 8 38%
Readers by discipline Count As %
Psychology 7 33%
Linguistics 2 10%
Neuroscience 2 10%
Computer Science 1 5%
Arts and Humanities 1 5%
Other 0 0%
Unknown 8 38%