Staff View
Sample size weighting in probabilistic inference

Descriptive

TypeOfResource
Text
TitleInfo (ID = T-1)
Title
Sample size weighting in probabilistic inference
Identifier
ETD_2695
Identifier (type = hdl)
http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056511
Language
LanguageTerm (authority = ISO639-2); (type = code)
eng
Genre (authority = marcgt)
theses
Subject (ID = SBJ-1); (authority = RUETD)
Topic
Psychology
Subject (ID = SBJ-2); (authority = ETD-LCSH)
Topic
Sampling (Statistics)
Subject (ID = SBJ-3); (authority = ETD-LCSH)
Topic
Heuristic
Subject (ID = SBJ-4); (authority = ETD-LCSH)
Topic
Inference
Abstract (type = abstract)
How do people evaluate data on the basis of sample size? Normatively, sample size is an important factor that one should consider when making judgments and inferences from sample data. Previous research is mixed regarding whether or not laypeople are sensitive to sample size. However, in this paper I show that laypeople attend to sample size, but that their sensitivity decreases as sample sizes become larger. This curvilinear functional form is found for both high and low numerate subjects across two different judgment tasks. However, high numerate subjects consistently show greater sensitivity to sample sizes than lower numerates, although they still underweight sample size relative to normative standards. Low numerate subjects’ sensitivity to sample size may be increased by providing raw data and instructions that sample size matters.
PhysicalDescription
Form (authority = gmd)
electronic resource
Extent
iv, 70 p. : ill.
InternetMediaType
application/pdf
InternetMediaType
text/xml
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = vita)
Includes vita
Note (type = statement of responsibility)
by Natalie Ann Lindemann
Name (ID = NAME-1); (type = personal)
NamePart (type = family)
Lindemann
NamePart (type = given)
Natalie Ann
NamePart (type = date)
1981-
Role
RoleTerm (authority = RULIB)
author
DisplayForm
Natalie Lindemann
Name (ID = NAME-2); (type = personal)
NamePart (type = family)
Gelman
NamePart (type = given)
Rochel
Role
RoleTerm (authority = RULIB)
chair
Affiliation
Advisory Committee
DisplayForm
Rochel Gelman
Name (ID = NAME-3); (type = personal)
NamePart (type = family)
Chapman
NamePart (type = given)
Gretchen B.
Role
RoleTerm (authority = RULIB)
co-chair
Affiliation
Advisory Committee
DisplayForm
Gretchen B. Chapman
Name (ID = NAME-4); (type = personal)
NamePart (type = family)
Singh
NamePart (type = given)
Manish
Role
RoleTerm (authority = RULIB)
internal member
Affiliation
Advisory Committee
DisplayForm
Manish Singh
Name (ID = NAME-5); (type = personal)
NamePart (type = family)
Rips
NamePart (type = given)
Lance
Role
RoleTerm (authority = RULIB)
outside member
Affiliation
Advisory Committee
DisplayForm
Lance Rips
Name (ID = NAME-1); (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (ID = NAME-2); (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
OriginInfo
DateCreated (qualifier = exact)
2010
DateOther (qualifier = exact); (type = degree)
2010-10
Place
PlaceTerm (type = code)
xx
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3KW5FSX
Genre (authority = ExL-Esploro)
ETD doctoral
Back to the top

Rights

RightsDeclaration (AUTHORITY = GS); (ID = rulibRdec0006)
The author owns the copyright to this work.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsHolder (ID = PRH-1); (type = personal)
Name
FamilyName
Lindemann
GivenName
Natalie
Role
Copyright Holder
RightsEvent (ID = RE-1); (AUTHORITY = rulib)
Type
Permission or license
DateTime
2010-05-05 16:07:42
AssociatedEntity (ID = AE-1); (AUTHORITY = rulib)
Role
Copyright holder
Name
Natalie Lindemann
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject (ID = AO-1); (AUTHORITY = rulib)
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.
RightsEvent (ID = RE-2); (AUTHORITY = rulib)
Type
Embargo
DateTime
2010-10-31
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after October 31st, 2011.
Back to the top

Technical

ContentModel
ETD
MimeType (TYPE = file)
application/pdf
MimeType (TYPE = container)
application/x-tar
FileSize (UNIT = bytes)
276480
Checksum (METHOD = SHA1)
1f0710aedc0de9a6238b9ada461d7e8a19244cdf
Back to the top
Version 8.5.5
Rutgers University Libraries - Copyright ©2024