<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='http://repository./id/eprint/59311'>
    <eprintid>59311</eprintid>
    <rev_number>7</rev_number>
    <documents>
      <document id='http://repository./id/document/448371'>
        <docid>448371</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='http://repository./id/file/983770'>
            <fileid>983770</fileid>
            <datasetid>document</datasetid>
            <objectid>448371</objectid>
            <filename>14303_2026ProceedingSHSDCM+Construct+ConvergenceTarigan.pdf</filename>
            <mime_type>application/pdf</mime_type>
            <hash>87504ecf830458e15c004231472174c8</hash>
            <hash_type>MD5</hash_type>
            <filesize>713311</filesize>
            <mtime>2026-08-14 07:32:18</mtime>
            <url>http://repository./59311/1/14303_2026ProceedingSHSDCM%2BConstruct%2BConvergenceTarigan.pdf</url>
          </file>
        </files>
        <eprintid>59311</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/pdf</mime_type>
        <format>text</format>
        <formatdesc>12th International Conference on Humanity and Social Sciences (ICHSS 2026)</formatdesc>
        <language>en</language>
        <security>public</security>
        <main>14303_2026ProceedingSHSDCM+Construct+ConvergenceTarigan.pdf</main>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>82</userid>
    <dir>disk0/00/05/93/11</dir>
    <datestamp>2026-08-14 07:33:35</datestamp>
    <lastmod>2026-08-14 07:33:35</lastmod>
    <status_changed>2026-08-14 07:33:35</status_changed>
    <type>article</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Santoso</family>
          <given>Agung</given>
        </name>
      </item>
    </creators>
    <title>Evaluating Construct Convergence: A Canonical Correlation Analysis of Diagnostic Classification Model-Based SJT and IPIP-NEO-PI-120</title>
    <ispublished>pub</ispublished>
    <subjects>
      <item>BF</item>
    </subjects>
    <divisions>
      <item>fac_psy</item>
    </divisions>
    <full_text_status>public</full_text_status>
    <date>2026</date>
    <date_type>published</date_type>
    <publication>12th International Conference on Humanity and Social Sciences (ICHSS 2026)</publication>
    <refereed>TRUE</refereed>
  </eprint>
</eprints>
