<?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 create a composite index (principal component analysis) in SAS Programming</title>
    <link>https://communities.sas.com/t5/SAS-Programming/create-a-composite-index-principal-component-analysis/m-p/117186#M24177</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dear All,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I will run a regression analysis with several independent variables, e.g., A, B, C. If my hypothesis predicts a composite measure of A,B,C should also be used as an alternative&amp;nbsp; independent var,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;How do I create this composite index using A,B,C. ?&amp;nbsp; Do I use principal component analysis or other methods?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;that is my model may look like&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Y = composite (A,B,C)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;if you could share some sample code, that will be great!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Lan:smileysilly:&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 24 Jun 2013 18:24:31 GMT</pubDate>
    <dc:creator>LanMin</dc:creator>
    <dc:date>2013-06-24T18:24:31Z</dc:date>
    <item>
      <title>create a composite index (principal component analysis)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/create-a-composite-index-principal-component-analysis/m-p/117186#M24177</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Dear All,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I will run a regression analysis with several independent variables, e.g., A, B, C. If my hypothesis predicts a composite measure of A,B,C should also be used as an alternative&amp;nbsp; independent var,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;How do I create this composite index using A,B,C. ?&amp;nbsp; Do I use principal component analysis or other methods?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;that is my model may look like&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Y = composite (A,B,C)&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;if you could share some sample code, that will be great!&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Lan:smileysilly:&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 24 Jun 2013 18:24:31 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/create-a-composite-index-principal-component-analysis/m-p/117186#M24177</guid>
      <dc:creator>LanMin</dc:creator>
      <dc:date>2013-06-24T18:24:31Z</dc:date>
    </item>
    <item>
      <title>Re: create a composite index (principal component analysis)</title>
      <link>https://communities.sas.com/t5/SAS-Programming/create-a-composite-index-principal-component-analysis/m-p/117187#M24178</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Usually they hypothesis would specify the composite measure &lt;img id="smileyhappy" class="emoticon emoticon-smileyhappy" src="https://communities.sas.com/i/smilies/16x16_smiley-happy.png" alt="Smiley Happy" title="Smiley Happy" /&gt;. &lt;/P&gt;&lt;P&gt;If not then yes, PCA could be used, and assuming you use the first component only.&amp;nbsp; But you should check the loading factor as well to make sure it makes sense.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Factor Analysis would also work (similar concept, but different).&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;You can look at PROC PRINCOMP as well as:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PROC PRINQUAL&lt;BR /&gt;PROC FACTOR&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 24 Jun 2013 20:01:06 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Programming/create-a-composite-index-principal-component-analysis/m-p/117187#M24178</guid>
      <dc:creator>Reeza</dc:creator>
      <dc:date>2013-06-24T20:01:06Z</dc:date>
    </item>
  </channel>
</rss>

