  <record>
    <language>eng</language>
    <publisher>TQMP</publisher>
    <journalTitle>Tutorials in Quantitative Methods for Psychology</journalTitle>
    <issn>1913-4126</issn>
    <publicationDate>2010-03-01</publicationDate>
    <volume>6</volume>
    <issue>1</issue>
    <startPage>1</startPage>
    <endPage>15</endPage>
    <documentType>article</documentType>
    <title language="eng">The Application of Canonical Correlation to Two-Dimensional Contingency Tables</title>

    <authors>
      <author>
        <name>Howard B. Lee</name>
        <email>howard.lee@csun.edu</email>
        <affiliationId>1</affiliationId>
      </author>

      <author>
        <name>Gary S. Katz</name>
        <email>gary.katz@csun.edu</email>
        <affiliationId>1</affiliationId>
      </author>


      <author>
        <name>Alberto F. Restori</name>
        <email>alberto.restori@csun.edu</email>
        <affiliationId>1</affiliationId>
      </author>



    </authors>

    <affiliationsList>
      <affiliationName affiliationId="1">California State University, Northridge</affiliationName>




    </affiliationsList>

    <abstract language="eng">
       This paper re-introduces and demonstrates the use of Mickey’s (1970) canonical correlation method in analyzing large two-dimensional contingency tables. This method of analysis supplements the traditional analysis using the Pearson chi-square. Examples and a MATLAB source listing are provided.  
    </abstract>

    <fullTextUrl format="pdf">http://www.tqmp.org/Content/vol06-1/p001/p001.pdf</fullTextUrl>

    <keywords language="eng">    
      <keyword>Stastitics</keyword>

      <keyword>Canonical correlation</keyword>


      <keyword>Contingency table</keyword>



    </keywords>
  </record>


