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    <title>topic HLM using PROC MIXED in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/HLM-using-PROC-MIXED/m-p/55740#M2553</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;i believe the two statements above say that you have two randoms effects: a random intercept for each class and a random intercept for each student (who are nested in their respective classes)&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 29 Aug 2011 16:29:40 GMT</pubDate>
    <dc:creator>trekvana</dc:creator>
    <dc:date>2011-08-29T16:29:40Z</dc:date>
    <item>
      <title>HLM using PROC MIXED</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/HLM-using-PROC-MIXED/m-p/55739#M2552</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Examining differences in student outcomes in a cluster RCT that randomly assgined schools to different health curriculums. Some schools have one health teacher, and other schools have two health teachers delivering the curriculum. Some teachers teach one section/class; others teach more than one section. Teachers were not randomly assigned nor were classes (schools were assigned). Is this a three-level model?&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Random intercept / sub=student(class);&lt;/P&gt;&lt;P&gt;Random intercept / sub=class;&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Sat, 27 Aug 2011 03:59:25 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/HLM-using-PROC-MIXED/m-p/55739#M2552</guid>
      <dc:creator>TTom</dc:creator>
      <dc:date>2011-08-27T03:59:25Z</dc:date>
    </item>
    <item>
      <title>HLM using PROC MIXED</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/HLM-using-PROC-MIXED/m-p/55740#M2553</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;i believe the two statements above say that you have two randoms effects: a random intercept for each class and a random intercept for each student (who are nested in their respective classes)&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 29 Aug 2011 16:29:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/HLM-using-PROC-MIXED/m-p/55740#M2553</guid>
      <dc:creator>trekvana</dc:creator>
      <dc:date>2011-08-29T16:29:40Z</dc:date>
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