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      <namePart>Fuller, Jordan S.</namePart>
   </name>
   <titleInfo>
      <title>Toward a Network Model of Executive Functioning</title>
   </titleInfo>
   <originInfo>
      <dateCreated keyDate="yes">2023</dateCreated>
   </originInfo>
   <note displayLabel="Degree Awarded">Spring 2023</note>
   <typeOfResource authority="aat" valueURI="http://vocab.getty.edu/page/aat/300028029">Dissertation</typeOfResource>
   <name type="corporate">
      <affiliation>Illinois Institute of Technology</affiliation>
   </name>
   <name type="corporate">
      <namePart>PSYC / Psychology</namePart>
   </name>
   <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q88360114">
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      <namePart>Young, Michael A.</namePart>
   </name>
   <name authority="wikidata" authorityURI="https://www.wikidata.org" valueURI="https://www.wikidata.org/wiki/Q97685488">
      <role>
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      <namePart>Haedt-Matt, Alissa</namePart>
   </name>
   <subject>
      <topic>Clinical psychology</topic>
   </subject>
   <subject>
      <topic>Executive Functioning</topic>
   </subject>
   <subject>
      <topic>Executive Functions</topic>
   </subject>
   <subject>
      <topic>Inhibition</topic>
   </subject>
   <subject>
      <topic>Network Analysis</topic>
   </subject>
   <subject>
      <topic>Task Switching</topic>
   </subject>
   <subject>
      <topic>Working Memory</topic>
   </subject>
   <language>
      <languageTerm type="code" authority="rfc3066">en</languageTerm>
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   <abstract>The executive functions are the higher-order mental processes that are responsible for organized, strategic behavior. These functions have been a source of significant controversy since their initial introduction. This study sought to create a model of the executive functions utilizing psychological network analysis. Participants completed six measures reflecting inhibition, task switching, and working memory updating, as well as a fluid intelligence measure. A processing speed index was calculated from non-executive trials of various measures. Four networks were generated, including an executive functions network, an executive functions and intelligence network, an executive functions and processing speed network, and a network with all variables included. The resulting networks contained no stable edges between the executive functioning tasks. Stable edges were identified between the intelligence node and the two nodes reflecting working memory updating. There was an additional edge identified between processing speed and one measure of task switching. Results of the study may indicate that there is relative independence among executive functions. However, the management of task impurity in a psychological network analysis also merits further investigation.</abstract>
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<identifier type="hdl">http://hdl.handle.net/10560/islandora:1025067</identifier></mods>