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The effect of category adjustment model (CAM) on the stimulus estimation
Descriptive
TitleInfo
Title
The effect of category adjustment model (CAM) on the stimulus
estimation
estimation
SubTitle
how aspects of the response stimulus affects task performance
Name
(type = personal)
NamePart
(type = family)
Noh
NamePart
(type = given)
Suyeon
NamePart
(type = date)
1978-
DisplayForm
Suyeon Noh
Role
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(authority = RULIB)
author
Name
(type = personal)
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(type = family)
Whitlow
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(type = given)
Bill
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Bill Whitlow
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Advisory Committee
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chair
Name
(type = personal)
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(type = family)
Duffy
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Sean
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Sean Duffy
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Advisory Committee
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internal member
Name
(type = personal)
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(type = family)
van der Wel
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(type = given)
Robrecht
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Robrecht van der Wel
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Advisory Committee
Role
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internal member
Name
(type = personal)
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(type = family)
Allred
NamePart
(type = given)
Sarah
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Sarah Allred
Affiliation
Advisory Committee
Role
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(authority = RULIB)
internal member
Name
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NamePart
Rutgers University
Role
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(authority = RULIB)
degree grantor
Name
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NamePart
Camden Graduate School
Role
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(authority = RULIB)
school
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Text
Genre
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theses
OriginInfo
DateCreated
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2013
DateOther
(qualifier = exact);
(type = degree)
2013-05
Place
PlaceTerm
(type = code)
xx
Language
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(authority = ISO639-2b);
(type = code)
eng
Abstract
(type = abstract)
Studies on the category adjustment often use sequential stimulus estimation tasks are in which people see a target stimulus then must reproduce its size using an adjustable response stimulus. Two empirical questions remain regarding methodological considerations in such tasks. In this study, the starting length and velocity of response stimulus as well as the time interval between target presentation and response are investigated. We found that velocity and response delay affect estimates but starting size does not.
Subject
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Topic
Psychology
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Rutgers University Electronic Theses and Dissertations
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ETD_4856
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electronic resource
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Note
Supplementary File: THE EFFECT OF CATEGORY ADJUSTMENT MODEL (CAM) ON THE STIMULUS ESTIMATION: HOW ASPECTS OF THE RESPONSE STIMULUS AFFECTS TASK PERFORMANCE
Extent
ii, 26 p. : ill.
Note
(type = degree)
M.A.
Note
(type = bibliography)
Includes bibliographical references
Note
(type = statement of responsibility)
by Suyeon Noh
Subject
(authority = ETD-LCSH)
Topic
Categorization (Psychology)--Testing
Subject
(authority = ETD-LCSH)
Topic
Bayesian statistical decision theory
Identifier
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http://hdl.rutgers.edu/1782.1/rucore10005600001.ETD.000068607
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Camden Graduate School Electronic Theses and Dissertations
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rucore10005600001
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(displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier
(type = doi)
doi:10.7282/T31Z4318
Genre
(authority = ExL-Esploro)
ETD graduate
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
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Name
FamilyName
Noh
GivenName
Suyeon
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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(qualifier = exact);
(point = start)
2013-05-13 10:09:34
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Name
Suyeon Noh
Role
Copyright holder
Affiliation
Rutgers University. Camden Graduate School
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Statistical Profile