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    <title>topic conducting factor analysis on polychoric correlation in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24875#M873</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;FOr a description of the TUPE+CORR data set, see&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_appssds_sect008.htm"&gt;http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_appssds_sect008.htm&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 10 Oct 2011 12:57:05 GMT</pubDate>
    <dc:creator>Rick_SAS</dc:creator>
    <dc:date>2011-10-10T12:57:05Z</dc:date>
    <item>
      <title>conducting factor analysis on polychoric correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24873#M871</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I have a question about conducting factor analysis on polychoric correlation. I have a correlation table in the following format in SAS:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;TABLE border="1" cellpadding="3" cellspacing="0" class="jiveBorder" style="width: 100%; border: 1px solid #000000;"&gt;&lt;TBODY&gt;&lt;TR&gt;&lt;TH align="center" style="background-color: #6690bc;" valign="middle"&gt;&lt;SPAN style="color: #ffffff;"&gt;&lt;STRONG&gt;A&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TH&gt;&lt;TH align="center" style="background-color: #6690bc;" valign="middle"&gt;&lt;SPAN style="color: #ffffff;"&gt;&lt;STRONG&gt;B&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TH&gt;&lt;TH align="center" style="background-color: #6690bc;" valign="middle"&gt;&lt;SPAN style="color: #ffffff;"&gt;&lt;STRONG&gt;C&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TH&gt;&lt;TH align="center" style="background-color: #6690bc;" valign="middle"&gt;&lt;SPAN style="color: #ffffff;"&gt;&lt;STRONG&gt;D&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TH&gt;&lt;TH align="center" style="background-color: #6690bc;" valign="middle"&gt;&lt;SPAN style="color: #ffffff;"&gt;&lt;STRONG&gt;E&lt;/STRONG&gt;&lt;/SPAN&gt;&lt;/TH&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;.1&lt;/TD&gt;&lt;TD&gt;.2&lt;/TD&gt;&lt;TD&gt;.5&lt;/TD&gt;&lt;TD&gt;.4&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;.1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;.4&lt;/TD&gt;&lt;TD&gt;.6&lt;/TD&gt;&lt;TD&gt;.2&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;.2&lt;/TD&gt;&lt;TD&gt;.4&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;.2&lt;/TD&gt;&lt;TD&gt;.4&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;.5&lt;/TD&gt;&lt;TD&gt;.6&lt;/TD&gt;&lt;TD&gt;.2&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;TD&gt;.1&lt;/TD&gt;&lt;/TR&gt;&lt;TR&gt;&lt;TD&gt;.4&lt;/TD&gt;&lt;TD&gt;.2&lt;/TD&gt;&lt;TD&gt;.4&lt;/TD&gt;&lt;TD&gt;.1&lt;/TD&gt;&lt;TD&gt;1&lt;/TD&gt;&lt;/TR&gt;&lt;/TBODY&gt;&lt;/TABLE&gt;&lt;P&gt;&amp;nbsp; &lt;/P&gt;&lt;P&gt;A B C D E are the variables in the dataset (the actual dataset has 17 variables), with 1000 observations.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I conduct the factor analysis with the following syntax:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PROC FACTOR data =matrix1 (TYPE=CORR)&lt;/P&gt;&lt;P&gt;METHOD = ULS NFACTOR= 3 NOBS= 1000&lt;/P&gt;&lt;P&gt;ROTATE = v SCREE CORR;&lt;/P&gt;&lt;P&gt;RUN;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;SAS complains the following:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;(MESSAGE 1)&lt;/P&gt;&lt;P&gt;No _NAME_ variable in the TYPE=CORR data set WORK.MATRIX1. Be sure that the variables are specified in the same order as the corresponding observations appear in the dataset.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;(MESSAGE 2) &lt;/P&gt;&lt;P&gt;The CORR matrix read from the input dataset WORK.MATRIX1 has a diagonal element equal to 0.999999 for the variable A.&lt;/P&gt;&lt;P&gt;The CORR matrix read from the input dataset WORK.MATRIX1 has a diagonal element equal to 0.999999 for the variable B.&lt;/P&gt;&lt;P&gt;The CORR matrix read from the input dataset WORK.MATRIX1 has a diagonal element equal to 0.999999 for the variable C.&lt;/P&gt;&lt;P&gt;The CORR matrix read from the input dataset WORK.MATRIX1 has a diagonal element equal to 0.999999 for the variable D.&lt;/P&gt;&lt;P&gt;The CORR matrix read from the input dataset WORK.MATRIX1 has a diagonal element equal to 0.999999 for the variable E.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;So, SAS does not allow any 1's in a correlation matrix? When A correlates with A, for example, the correlation will naturally be 1. Why is SAS complaining?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Any help will be useful.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Chester&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 06 Oct 2011 17:54:07 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24873#M871</guid>
      <dc:creator>PsycResearcher</dc:creator>
      <dc:date>2011-10-06T17:54:07Z</dc:date>
    </item>
    <item>
      <title>Re: conducting factor analysis on polychoric correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24874#M872</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;It looks like your correlation table matrix1 (TYPE=CORR) has not proper format about SAS CORR TABLE.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Should like:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;_type_ _name_ p1 p2 p2 p4&lt;/P&gt;&lt;P&gt;CORR&amp;nbsp;&amp;nbsp; P1&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 1.0&lt;/P&gt;&lt;P&gt;CORR&amp;nbsp;&amp;nbsp; P2&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; .39 1.0&lt;/P&gt;&lt;P&gt;..............................&lt;/P&gt;&lt;P&gt;CORR&amp;nbsp; P4&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; ..................1.0&lt;/P&gt;&lt;P&gt;N&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; N&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp; 123 123 123 123&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Ksharp&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Fri, 07 Oct 2011 06:41:46 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24874#M872</guid>
      <dc:creator>Ksharp</dc:creator>
      <dc:date>2011-10-07T06:41:46Z</dc:date>
    </item>
    <item>
      <title>conducting factor analysis on polychoric correlation</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24875#M873</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;FOr a description of the TUPE+CORR data set, see&lt;/P&gt;&lt;P&gt;&lt;A href="http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_appssds_sect008.htm"&gt;http://support.sas.com/documentation/cdl/en/statug/63962/HTML/default/viewer.htm#statug_appssds_sect008.htm&lt;/A&gt;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 10 Oct 2011 12:57:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/conducting-factor-analysis-on-polychoric-correlation/m-p/24875#M873</guid>
      <dc:creator>Rick_SAS</dc:creator>
      <dc:date>2011-10-10T12:57:05Z</dc:date>
    </item>
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