The inaccuracy of sample-based confidence intervals to estimate a priori ones
Author(s) / Creator(s)
Trafimow, David
Uhalt, Joshua
Abstract / Description
Confidence intervals (CIs) constitute the most popular alternative to widely criticized null hypothesis significance tests. CIs provide more information than significance tests and lend themselves well to visual displays. Although CIs are no better than significance tests when used solely as significance tests, researchers need not limit themselves to this use of CIs. Rather, CIs can be used to estimate the precision of the data, and it is the precision argument that may set CIs in a superior position to significance tests. We tested two versions of the precision argument by performing computer simulations to test how well sample-based CIs estimate a priori CIs. One version pertains to precision of width whereas the other version pertains to precision of location. Using both versions, sample-based CIs poorly estimate a priori CIs at typical sample sizes and perform better as sample sizes increase.
Keyword(s)
a priori procedure a priori confidence intervals accuracy width locationPersistent Identifier
Date of first publication
2020-06-18
Journal title
Methodology
Volume
16
Issue
2
Page numbers
112–126
Publisher
PsychOpen GOLD
Publication status
publishedVersion
Review status
peerReviewed
Is version of
Citation
Trafimow, D., & Uhalt, J. (2020). The inaccuracy of sample-based confidence intervals to estimate a priori ones. Methodology, 16(2), 112-126. https://doi.org/10.5964/meth.2807
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meth.v16i2.2807.pdfAdobe PDF - 1.11MBMD5: 4b3e947fb25f8fc29200937852478d6e
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There are no other versions of this object.
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Author(s) / Creator(s)Trafimow, David
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Author(s) / Creator(s)Uhalt, Joshua
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PsychArchives acquisition timestamp2022-04-14T11:24:37Z
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Made available on2022-04-14T11:24:37Z
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Date of first publication2020-06-18
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Abstract / DescriptionConfidence intervals (CIs) constitute the most popular alternative to widely criticized null hypothesis significance tests. CIs provide more information than significance tests and lend themselves well to visual displays. Although CIs are no better than significance tests when used solely as significance tests, researchers need not limit themselves to this use of CIs. Rather, CIs can be used to estimate the precision of the data, and it is the precision argument that may set CIs in a superior position to significance tests. We tested two versions of the precision argument by performing computer simulations to test how well sample-based CIs estimate a priori CIs. One version pertains to precision of width whereas the other version pertains to precision of location. Using both versions, sample-based CIs poorly estimate a priori CIs at typical sample sizes and perform better as sample sizes increase.en_US
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Publication statuspublishedVersion
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Review statuspeerReviewed
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CitationTrafimow, D., & Uhalt, J. (2020). The inaccuracy of sample-based confidence intervals to estimate a priori ones. Methodology, 16(2), 112-126. https://doi.org/10.5964/meth.2807en_US
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ISSN1614-2241
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/5689
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.6293
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Language of contenteng
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PublisherPsychOpen GOLD
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Is version ofhttps://doi.org/10.5964/meth.2807
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Is related tohttps://doi.org/10.23668/psycharchives.3006
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Keyword(s)a priori procedureen_US
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Keyword(s)a priori confidence intervalsen_US
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Keyword(s)accuracyen_US
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Keyword(s)widthen_US
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Keyword(s)locationen_US
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Dewey Decimal Classification number(s)150
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TitleThe inaccuracy of sample-based confidence intervals to estimate a priori onesen_US
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DRO typearticle
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Issue2
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Journal titleMethodology
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Page numbers112–126
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Volume16
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Visible tag(s)Version of Recorden_US