<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Regularized Common Factor Analysis? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984542#M49321</link>
    <description>&lt;P&gt;Thanks for the link to the documentation. &amp;nbsp;I'll study that more closely...but I think I'm looking for something different. &amp;nbsp;Namely, I'm trying to learn about a specific and specialized form of factor analysis that goes by the moniker of "Regularized Common Factor Analysis (RCFA)" and how to implement it within SAS.&lt;/P&gt;</description>
    <pubDate>Tue, 10 Mar 2026 15:04:35 GMT</pubDate>
    <dc:creator>genemroz</dc:creator>
    <dc:date>2026-03-10T15:04:35Z</dc:date>
    <item>
      <title>Regularized Common Factor Analysis?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984430#M49313</link>
      <description>&lt;P&gt;I've been using Proc Factor to undertake common factor analysis of a large dataset. &amp;nbsp;But the results have been plagued with Heywood cases. &amp;nbsp;I've done some reading that suggests a method called Regularized Common Factor Analysis (RCFA) can help in these cases. But it's not clear to me exactly what this is nor how or even whether this can be accomplished with Proc Factor or some other SAS Proc. &amp;nbsp;I'm looking for some guidance on how to proceed or where to find further information.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks in advance,&lt;/P&gt;
&lt;P&gt;Gene&lt;/P&gt;</description>
      <pubDate>Fri, 06 Mar 2026 19:01:48 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984430#M49313</guid>
      <dc:creator>genemroz</dc:creator>
      <dc:date>2026-03-06T19:01:48Z</dc:date>
    </item>
    <item>
      <title>Re: Regularized Common Factor Analysis?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984533#M49319</link>
      <description>&lt;P data-unlink="true"&gt;I guess you use PROC FACTOR with&amp;nbsp;&lt;SPAN&gt;METHOD=PRINCIPAL.&lt;BR /&gt;&lt;/SPAN&gt;I guess you also use a PRIORS statement or a&amp;nbsp;PRIORS=&amp;nbsp;value other than&amp;nbsp;PRIORS=ONE.&lt;/P&gt;
&lt;P data-unlink="true"&gt;Correct?&lt;/P&gt;
&lt;P data-unlink="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P data-unlink="true"&gt;And indeed ... t&lt;SPAN&gt;he handling of Heywood cases by the HEYWOOD option only has an effect for the iterative methods (PRINIT, ALPHA, ULS, ML). For the noniterative methods (PRINCIPAL, IMAGE, HARRIS) there is no effect by the option.&lt;/SPAN&gt;&lt;/P&gt;
&lt;P data-unlink="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;H1&gt;&lt;FONT size="4"&gt;The FACTOR Procedure &lt;/FONT&gt;&lt;BR /&gt;&lt;FONT size="4"&gt;Heywood Cases and Other Anomalies about Communality Estimates&lt;/FONT&gt;&lt;/H1&gt;
&lt;P data-unlink="true"&gt;&lt;A style="font-family: inherit; background-color: #ffffff;" href="https://go.documentation.sas.com/doc/en/statug/latest/statug_factor_details10.htm" target="_blank"&gt;https://go.documentation.sas.com/doc/en/statug/latest/statug_factor_details10.htm&lt;/A&gt;&lt;/P&gt;
&lt;P data-unlink="true"&gt;&amp;nbsp;&lt;/P&gt;
&lt;P data-unlink="true"&gt;BR, Koen&lt;/P&gt;</description>
      <pubDate>Mon, 09 Mar 2026 22:19:28 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984533#M49319</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2026-03-09T22:19:28Z</dc:date>
    </item>
    <item>
      <title>Re: Regularized Common Factor Analysis?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984542#M49321</link>
      <description>&lt;P&gt;Thanks for the link to the documentation. &amp;nbsp;I'll study that more closely...but I think I'm looking for something different. &amp;nbsp;Namely, I'm trying to learn about a specific and specialized form of factor analysis that goes by the moniker of "Regularized Common Factor Analysis (RCFA)" and how to implement it within SAS.&lt;/P&gt;</description>
      <pubDate>Tue, 10 Mar 2026 15:04:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984542#M49321</guid>
      <dc:creator>genemroz</dc:creator>
      <dc:date>2026-03-10T15:04:35Z</dc:date>
    </item>
    <item>
      <title>Re: Regularized Common Factor Analysis?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984543#M49322</link>
      <description>&lt;P&gt;I know you are looking for something different.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Namely this:&lt;/P&gt;
&lt;DIV class="t m0 x1 h2 y1 ff1 fs0 fc0 sc0 ls3 ws0"&gt;New Trends in Psychometrics&lt;/DIV&gt;
&lt;DIV class="t m0 x1 h3 y2 ff2 fs1 fc1 sc0 ls3 ws1"&gt;&lt;STRONG&gt;Regularized Common Factor Analysis&lt;/STRONG&gt;&lt;/DIV&gt;
&lt;DIV class="t m0 x1 h4 y3 ff3 fs2 fc1 sc0 ls3 ws2"&gt;Sunho Jung&amp;nbsp;&lt;SPAN class="ff5 ws3"&gt;and &lt;/SPAN&gt;Yoshio Takane&lt;/DIV&gt;
&lt;DIV class="t m0 x1 h5 y4 ff6 fs4 fc1 sc0 ls3 ws4"&gt;Department of Psychology, McGill University, 1205 Dr. Penﬁeld Avenue, Montreal, QC, H3A 1B1, Canada&lt;/DIV&gt;
&lt;DIV class="t m0 x1 h5 y4 ff6 fs4 fc1 sc0 ls3 ws4"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;DIV class="t m0 x1 h5 y4 ff6 fs4 fc1 sc0 ls3 ws4"&gt;In SAS you find&amp;nbsp;regularization methods for regression (penalized regression methods), but I do not see any regularization methods built into PROC FACTOR.&amp;nbsp;&lt;span class="lia-unicode-emoji" title=":frowning_face:"&gt;☹️&lt;/span&gt;&lt;/DIV&gt;
&lt;DIV class="t m0 x1 h5 y4 ff6 fs4 fc1 sc0 ls3 ws4"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;UL&gt;
&lt;LI class="t m0 x1 h5 y4 ff6 fs4 fc1 sc0 ls3 ws4"&gt;L1 regularization is known as LASSO.&lt;/LI&gt;
&lt;LI class="t m0 x1 h5 y4 ff6 fs4 fc1 sc0 ls3 ws4"&gt;L2 regularization is known as ridging.&amp;nbsp;&lt;/LI&gt;
&lt;/UL&gt;
&lt;P&gt;BR, Koen&lt;/P&gt;</description>
      <pubDate>Tue, 10 Mar 2026 16:04:15 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Regularized-Common-Factor-Analysis/m-p/984543#M49322</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2026-03-10T16:04:15Z</dc:date>
    </item>
  </channel>
</rss>

