Set size slope still does not distinguish parallel from serial search

Daniel R. Little; Ami Eidels; Joseph W. Houpt; Cheng Ta Yang

doi:10.1017/S0140525X16000157

Set size slope still does not distinguish parallel from serial search

Daniel R. Little, Ami Eidels, Joseph W. Houpt, Cheng Ta Yang

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

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.

Original language	English
Pages (from-to)	32-33
Number of pages	2
Journal	Behavioral and Brain Sciences
Volume	40
DOIs	https://doi.org/10.1017/S0140525X16000157
Publication status	Published - 2017
Externally published	Yes

ASJC Scopus subject areas

Neuropsychology and Physiological Psychology
Physiology
Behavioral Neuroscience

Access to Document

10.1017/S0140525X16000157

Cite this

@article{e6f48d4f4d6344bba7b694cea1defe4e,

title = "Set size slope still does not distinguish parallel from serial search",

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.",

author = "Little, {Daniel R.} and Ami Eidels and Houpt, {Joseph W.} and Yang, {Cheng Ta}",

year = "2017",

doi = "10.1017/S0140525X16000157",

language = "English",

volume = "40",

pages = "32--33",

journal = "Behavioral and Brain Sciences",

issn = "0140-525X",

publisher = "Cambridge University Press",

}

TY - JOUR

T1 - Set size slope still does not distinguish parallel from serial search

AU - Little, Daniel R.

AU - Eidels, Ami

AU - Houpt, Joseph W.

AU - Yang, Cheng Ta

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85056759440&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85056759440&partnerID=8YFLogxK

U2 - 10.1017/S0140525X16000157

DO - 10.1017/S0140525X16000157

M3 - Article

C2 - 29342608

AN - SCOPUS:85056759440

SN - 0140-525X

VL - 40

SP - 32

EP - 33

JO - Behavioral and Brain Sciences

JF - Behavioral and Brain Sciences

ER -

Set size slope still does not distinguish parallel from serial search

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this