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Set size slope still does not distinguish parallel from serial search

Published online by Cambridge University Press:  24 May 2017

Daniel R. Little ,
Ami Eidels ,
Joseph W. Houpt  and
Cheng-Ta Yang
Daniel R. Little
Affiliation:
Melbourne School of Psychological Sciences, The University of Melbourne, Parkville VIC 3010 Australia; daniel.little@unimelb.edu.au http://www.psych.unimelb.edu.au/people/daniel-little
Ami Eidels
Affiliation:
School of Psychology, The University of Newcastle, Callaghan NSW 2308; ami.eidels@newcastle.edu.au http://www.newcl.org/eidels
Joseph W. Houpt
Affiliation:
Department of Psychology, Wright State University, Dayton, OH 45435-0001; joseph.houpt@wright.edu http://www.wright.edu/~joseph.houpt/
Cheng-Ta Yang
Affiliation:
Department of Psychology, National Cheng Kung University, Tainan City 701, Taiwan (R.O.C.). yangct@mail.ncku.edu.tw http://vcmlab.psychology.ncku.edu.tw/vcmlab/
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Abstract

Much of the evidence for theories in visual search (including Hulleman & Olivers' [H&O's]) comes from inferences made using changes in mean RT as a function of the number of items in a display. We have known for more than 40 years that these inferences are based on flawed reasoning and obscured by model mimicry. Here we describe a method that avoids these problems.

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Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 40 , 2017 , e145
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Copyright
Copyright © Cambridge University Press 2017 

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