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pro vyhledávání: '"GINA A. GLANC"'
Publikováno v:
Cogent Psychology, Vol 3, Iss 1 (2016)
In three previous studies, manipulations of orthographic neighborhood size and orienting task were used to differentiate between item-specific and relational processing in young adults (aged 18–35) in standard recognition tasks. The current study a
Externí odkaz:
https://doaj.org/article/bbdf1592be204cb2a806638733b86e6b
Autor:
Gina A. Glanc
Publikováno v:
Cogent Psychology, Vol 2, Iss 1 (2015)
It has been demonstrated that retrieval practice on a subset of studied items can cause forgetting of different related studied items. This retrieval-induced forgetting (the RIF effect) has been demonstrated in a variety of recall studies and has bee
Externí odkaz:
https://doaj.org/article/6b02eaa5c87c40af8ec4f17a94190272
Autor:
GINA A. GLANC, ROBERT L. GREENE
Publikováno v:
The American Journal of Psychology. 122:53-61
Three experiments on the role of orthographic distinctiveness (as measured by neighborhood size [N]) in associative recognition are reported. A mirror effect was obtained, with high-N words receiving more hits and fewer false alarms than low-N words.
Autor:
Gina A. Glanc, Robert L. Greene
Publikováno v:
Memory & Cognition. 35:365-371
This study argues for the importance of physical word features in recognition memory by investigating the influence of orthographic distinctiveness. Experiment 1 demonstrated a mirror effect in ayes/no recognition test by manipulating orthographic ne
Publikováno v:
Cogent Psychology, Vol 3, Iss 1 (2016)
In three previous studies, manipulations of orthographic neighborhood size and orienting task were used to differentiate between item-specific and rela-tional processing in young adults (aged 18–35) in standard recognition tasks. The current study
Autor:
Robert L. Greene, Gina A. Glanc
Publikováno v:
Memory (Hove, England). 20(8)
Orthographic distinctiveness (as measured by neighbourhood size) may have complex effects on memory. Previous research has shown that words with small orthographic neighbourhoods show an advantage in item recognition, while words with large neighbour