Project

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        <dri:dateOfCollection>2009-12-30T00:16:01Z</dri:dateOfCollection>
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      </header>
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      <metadata>
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        <dr:CobjContentSynthesis/>
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        <dr:CobjTypology>Textual</dr:CobjTypology>
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        <dr:CobjIdentifier>Journal of Personality and Social Psychology 89, 696-716 (2005)</dr:CobjIdentifier>
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        <dr:CobjModel>OAI</dr:CobjModel>
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        <dr:CobjMDFormats>oai_dc</dr:CobjMDFormats>
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        <dr:CobjDescriptionSynthesis/>
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        <dr:repositoryName>DSpace at Utrecht University</dr:repositoryName>
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        <dr:repositoryLink>http://www.igitur.nl/</dr:repositoryLink>
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        <dr:repositoryCountry>NL</dr:repositoryCountry>
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        <dr:repositoryInstitution/>
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        <dc:creator>Wicherts, J.M.</dc:creator>
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        <dc:creator>Dolan, C.V.</dc:creator>
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        <dc:creator>Hessen, D.J.</dc:creator>
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        <dc:title>Stereotype threat and group differences in test performance: A question of measurement invariance.</dc:title>
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        <dc:subject>ethnic differences</dc:subject>
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        <dc:subject>sex differences</dc:subject>
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        <dc:subject>measurement invariance</dc:subject>
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        <dc:subject>Sociale Wetenschappen</dc:subject>
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        <dc:subject>stereotype threat</dc:subject>
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        <dc:subject>test performance</dc:subject>
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        <dr:CobjCategory>0001</dr:CobjCategory>
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        <dc:language>eng</dc:language>
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        <dc:dateAccepted>2005-01-01</dc:dateAccepted>
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        <dc:identifier>http://igitur-archive.library.uu.nl/fss/2008-0807-201603/UUindex.html</dc:identifier>
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        <dc:publisher>American Psychological Association</dc:publisher>
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        <dc:source/>
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        <dc:contributor/>
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        <dc:relation>0022-3514</dc:relation>
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        <dc:description>Studies into the effects of stereotype threat (ST) on test performance have shed new light on race and sex differences in achievement and intelligence test scores. In this article,the authors relate ST theory to the psychometric concept of measurement invariance and show that ST effects may be viewed as a source of measurement bias. As such,ST effects are detectable by means of multigroup confirmatory factor analysis. This enables research into the generalizability of ST effects to real-life or high-stakes testing. The modeling approach is described in detail and applied to 3 experiments in which the amount of ST for minorities and women was manipulated. Results indicate that ST results in measurement bias of intelligence and mathematics tests.</dc:description>
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