<?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 3-way association model? in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/470934#M24500</link>
    <description>&lt;P&gt;&lt;SPAN style="font-weight: 400;"&gt;Hello,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-weight: 400;"&gt;I want to know if variable A influences the effect of variable B on variable C. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-weight: 400;"&gt;Would I use a saturated model or homogenous association (or something else entirely)? Clarification on the conceptual difference would be helpful! From what I understand, homogenous association is saying that B and C have a relationship and that relationship is identical at each level of A while the saturated model is saying that B and C have a relationship but that relationship does not have to be identical at each level of A? Thanks in advance for any help!!&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Sun, 17 Jun 2018 21:11:27 GMT</pubDate>
    <dc:creator>iressa131</dc:creator>
    <dc:date>2018-06-17T21:11:27Z</dc:date>
    <item>
      <title>3-way association model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/470934#M24500</link>
      <description>&lt;P&gt;&lt;SPAN style="font-weight: 400;"&gt;Hello,&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-weight: 400;"&gt;I want to know if variable A influences the effect of variable B on variable C. &lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN style="font-weight: 400;"&gt;Would I use a saturated model or homogenous association (or something else entirely)? Clarification on the conceptual difference would be helpful! From what I understand, homogenous association is saying that B and C have a relationship and that relationship is identical at each level of A while the saturated model is saying that B and C have a relationship but that relationship does not have to be identical at each level of A? Thanks in advance for any help!!&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Sun, 17 Jun 2018 21:11:27 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/470934#M24500</guid>
      <dc:creator>iressa131</dc:creator>
      <dc:date>2018-06-17T21:11:27Z</dc:date>
    </item>
    <item>
      <title>Re: 3-way association model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/470970#M24511</link>
      <description>&lt;P&gt;yes, "model y= a|b|c" (see here &lt;A href="https://blogs.sas.com/content/iml/2016/03/07/collection-effects-pairwise-interactions.html" target="_blank"&gt;https://blogs.sas.com/content/iml/2016/03/07/collection-effects-pairwise-interactions.html&lt;/A&gt;)&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;bear in mind, there's little statistical power for interaction effects; there'd have to be a specific interest in the Q. As you said, an interaction is an inconsistency of the strength of the effect across the levels of the other factor&lt;/P&gt;</description>
      <pubDate>Mon, 18 Jun 2018 05:05:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/470970#M24511</guid>
      <dc:creator>pau13rown</dc:creator>
      <dc:date>2018-06-18T05:05:21Z</dc:date>
    </item>
    <item>
      <title>Re: 3-way association model?</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/471678#M24574</link>
      <description>&lt;P&gt;"&lt;SPAN&gt;I want to know if variable A influences the effect of variable B on variable C."&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;As you've stated it, this suggests that C is the response and A and B are predictors. If so, then you simply want to test if the A*B interaction is significant in this model:&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;model c = a b a*b;&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 20 Jun 2018 13:14:35 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/3-way-association-model/m-p/471678#M24574</guid>
      <dc:creator>StatDave</dc:creator>
      <dc:date>2018-06-20T13:14:35Z</dc:date>
    </item>
  </channel>
</rss>

