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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JDS</journal-id>
      <journal-title-group>
        <journal-title>Journal of Data Science</journal-title>
      </journal-title-group>
      <issn pub-type="epub">1680-743X</issn>
      <issn pub-type="ppub">1680-743X</issn>
      <publisher>
        <publisher-name>SOSRUC</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">110305</article-id>
      <article-id pub-id-type="doi">10.6339/JDS.2013.11(3).1107
</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Mosaics for Visualizing Knowledge Structures</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Unl¨u</surname>
            <given-names>Ali</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_000"/>
        </contrib>
        <aff id="j_JDS_aff_000">Technische Universit¨at M¨unchen</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Sargin</surname>
            <given-names>Anatol</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_001"/>
        </contrib>
        <aff id="j_JDS_aff_001">Generali Versicherungen</aff>
        <contrib contrib-type="author">
          <name>
            <surname>Viehrig</surname>
            <given-names>Martin</given-names>
          </name>
          <xref ref-type="aff" rid="j_JDS_aff_002"/>
        </contrib>
        <aff id="j_JDS_aff_002">Ludwig-Maximilians-Universit¨at M¨unchen</aff>
      </contrib-group>
      <volume>11</volume>
      <issue>3</issue>
      <fpage>451</fpage>
      <lpage>478</lpage>
      <permissions>
        <ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/>
      </permissions>
      <abstract>
        <p>Abstract: Mosaic plots are state-of-the-art graphics for multivariate categor ical data in statistical visualization. Knowledge structures are mathematical models that belong to the theory of knowledge spaces in psychometrics. This paper presents an application of mosaic plots to psychometric data arising from underlying knowledge structure models. In simulation trials and with empirical data, the scope of this graphing method in knowledge space theory is investigated.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Knowledge space theory</kwd>
        <kwd>knowledge structure</kwd>
        <kwd>psychometrics</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
