Identifying suboptimalities with factorial model comparison

Wei Ji Ma

doi:10.1017/S0140525X18001541

Identifying suboptimalities with factorial model comparison

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

Abstract

Given the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time-or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

Original language	English (US)
Article number	e234
Journal	Behavioral and Brain Sciences
Volume	41
DOIs	https://doi.org/10.1017/S0140525X18001541
State	Published - 2018

ASJC Scopus subject areas

Neuropsychology and Physiological Psychology
Physiology
Behavioral Neuroscience

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10.1017/S0140525X18001541

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title = "Identifying suboptimalities with factorial model comparison",

abstract = "Given the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time-or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.",

author = "Ma, {Wei Ji}",

note = "Funding Information: RACHEL N. DENISON, Postdoctoral Associate in the Department of Psychology and Center for Neural Science at New York University, studies visual perception, attention, and decision making. She holds a B.A. in cognitive science from Yale University, an M.Sc. in neuroscience from the University of Oxford, and a Ph.D. in neuroscience from the University of California, Berkeley. Her work has been supported by a Marshall Scholarship and fellowships from the National Science Foundation and National Institutes of Health. Funding Information: This work was supported by an ERC Consolidator Grant Funding Information: Badde, Michael Landy, Wei Ji Ma, Larry Maloney, Brian Maniscalco, Jonathan Winawer, and five reviewers for many helpful comments and discussions. D. Rahnev was supported by a start-up grant from Georgia Institute of Technology. R. N. Denison was supported by the National Institutes of Health National Eye Institute grants F32 EY025533 to R.N.D. and T32 EY007136 to New York University. Funding Information: I acknowledge support from IUT20-40 (Estonian Science Publisher Copyright: Copyright {\textcopyright} Cambridge University Press 2018{\^A}.",

year = "2018",

doi = "10.1017/S0140525X18001541",

language = "English (US)",

volume = "41",

journal = "Behavioral and Brain Sciences",

issn = "0140-525X",

publisher = "Cambridge University Press",

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AU - Ma, Wei Ji

N1 - Funding Information: RACHEL N. DENISON, Postdoctoral Associate in the Department of Psychology and Center for Neural Science at New York University, studies visual perception, attention, and decision making. She holds a B.A. in cognitive science from Yale University, an M.Sc. in neuroscience from the University of Oxford, and a Ph.D. in neuroscience from the University of California, Berkeley. Her work has been supported by a Marshall Scholarship and fellowships from the National Science Foundation and National Institutes of Health. Funding Information: This work was supported by an ERC Consolidator Grant Funding Information: Badde, Michael Landy, Wei Ji Ma, Larry Maloney, Brian Maniscalco, Jonathan Winawer, and five reviewers for many helpful comments and discussions. D. Rahnev was supported by a start-up grant from Georgia Institute of Technology. R. N. Denison was supported by the National Institutes of Health National Eye Institute grants F32 EY025533 to R.N.D. and T32 EY007136 to New York University. Funding Information: I acknowledge support from IUT20-40 (Estonian Science Publisher Copyright: Copyright © Cambridge University Press 2018Â.

PY - 2018

Y1 - 2018

N2 - Given the many types of suboptimality in perception, I ask how one should test for multiple forms of suboptimality at the same time-or, more generally, how one should compare process models that can differ in any or all of the multiple components. In analogy to factorial experimental design, I advocate for factorial model comparison.

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Identifying suboptimalities with factorial model comparison

Abstract

ASJC Scopus subject areas

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