Document Detail

Sequential effects in naming: a time-criterion account.
MedLine Citation:
PMID:  11204093     Owner:  NLM     Status:  MEDLINE    
S. J. Lupker, P. Brown, and L. Colombo (1997) reported that target naming latencies are strongly affected by the difficulty of the other stimuli in a trial block, an effect they attributed to readers' strategic use of a time criterion to guide responding. In the present research, the authors asked whether there are also trial-by-trial ("sequential") effects by examining naming latency as a function of the difficulty of the preceding stimulus. In Experiment 1, both nonwords and high-frequency regular words were named more rapidly following a word than a nonword. Experiments 2, 3, and 4 were parallel experiments involving a variety of stimulus types (e.g., high- and low-frequency inconsistent words, easy and hard nonwords). In all cases, similar sequential effects were observed (i.e., all stimulus types had shorter latencies following an easier-to-name than a harder-to-name stimulus). In terms of the time-criterion account, criterion placement appears to be affected by the relative difficulty of the preceding stimulus in a way that is independent of stimulus type.
T E Taylor; S J Lupker
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of experimental psychology. Learning, memory, and cognition     Volume:  27     ISSN:  0278-7393     ISO Abbreviation:  J Exp Psychol Learn Mem Cogn     Publication Date:  2001 Jan 
Date Detail:
Created Date:  2001-01-31     Completed Date:  2001-03-29     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  8207540     Medline TA:  J Exp Psychol Learn Mem Cogn     Country:  United States    
Other Details:
Languages:  eng     Pagination:  117-38     Citation Subset:  IM    
Department of Psychology, University of Western Ontario, London, Canada.
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MeSH Terms
Generalization, Stimulus*
Memory, Short-Term*
Mental Recall
Models, Psychological
Refractory Period, Psychological*
Serial Learning*

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