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    <title>topic Re: Intraclass Correlation using a random effects model versus the MSA platform in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270695#M52686</link>
    <description>&lt;P&gt;its all about the sigmas&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/15.1/#page/jmp/statistical-details-for-measurement-systems-analysis.shtml#ww1389206" target="_blank"&gt;https://www.jmp.com/support/help/en/15.1/#page/jmp/statistical-details-for-measurement-systems-analysis.shtml#ww1389206&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The REML variance components are calculated differently, and perhaps a little more precisely.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Take a look at the degrees of freedom in EMP too.&lt;/P&gt;</description>
    <pubDate>Thu, 04 Jun 2020 13:10:00 GMT</pubDate>
    <dc:creator>Byron_JMP</dc:creator>
    <dc:date>2020-06-04T13:10:00Z</dc:date>
    <item>
      <title>Intraclass Correlation using a random effects model versus the MSA platform</title>
      <link>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270619#M52676</link>
      <description>&lt;P&gt;Good evening JMP Community,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Does someone have an explanation as to why the ICC calculated in the MSA platform (EMP) is different than the percent of variance explained in the variability or the fit model platform with random effects (REML)?&lt;/P&gt;
&lt;P&gt;For example, I used the Animal sample data and concatenated the species and subjectID into a new column and used the new column as the between subjects factor and miles as the outcome.&amp;nbsp; In the fit model and variability platforms I calculate an ICC of ~0.387 and in the MSA platform the ICC is ~0.4.&lt;/P&gt;
&lt;P&gt;Attached is a pic of the two outputs.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Sincerely,&lt;/P&gt;
&lt;P&gt;MG&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="ICC.PNG" style="width: 400px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24375i6BDC920F0BF6B0E7/image-size/medium?v=v2&amp;amp;px=400" role="button" title="ICC.PNG" alt="ICC.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt; &lt;/P&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:16:41 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270619#M52676</guid>
      <dc:creator>G_M</dc:creator>
      <dc:date>2023-06-09T00:16:41Z</dc:date>
    </item>
    <item>
      <title>Re: Intraclass Correlation using a random effects model versus the MSA platform</title>
      <link>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270695#M52686</link>
      <description>&lt;P&gt;its all about the sigmas&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://www.jmp.com/support/help/en/15.1/#page/jmp/statistical-details-for-measurement-systems-analysis.shtml#ww1389206" target="_blank"&gt;https://www.jmp.com/support/help/en/15.1/#page/jmp/statistical-details-for-measurement-systems-analysis.shtml#ww1389206&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The REML variance components are calculated differently, and perhaps a little more precisely.&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Take a look at the degrees of freedom in EMP too.&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jun 2020 13:10:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270695#M52686</guid>
      <dc:creator>Byron_JMP</dc:creator>
      <dc:date>2020-06-04T13:10:00Z</dc:date>
    </item>
    <item>
      <title>Re: Intraclass Correlation using a random effects model versus the MSA platform</title>
      <link>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270716#M52694</link>
      <description>&lt;P&gt;Hi MG,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The EMP Measurement Systems Analysis platform uses ranges by default for calculating variation, but if you switch to using standard deviations in the launch dialog you should get results that match the Variability platform in your example.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="EMPDlg.PNG" style="width: 575px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24373i96EFF49243AE8ECE/image-size/large?v=v2&amp;amp;px=999" role="button" title="EMPDlg.PNG" alt="EMPDlg.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;Here are the results:&lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="EMPResults.PNG" style="width: 527px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/24374i950A45468C9C39D7/image-size/large?v=v2&amp;amp;px=999" role="button" title="EMPResults.PNG" alt="EMPResults.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;It is possible to set a platform preference to always use standard deviations if you prefer that to be the default.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I hope this helps. Thanks.&lt;/P&gt;
&lt;P&gt;Laura&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jun 2020 14:02:21 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270716#M52694</guid>
      <dc:creator>Laura_Lancaster</dc:creator>
      <dc:date>2020-06-04T14:02:21Z</dc:date>
    </item>
    <item>
      <title>Re: Intraclass Correlation using a random effects model versus the MSA platform</title>
      <link>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270723#M52695</link>
      <description>&lt;P&gt;Many thanks Byron and Laura.&amp;nbsp; I appreciate the quick support!&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Sincerely,&lt;/P&gt;&lt;P&gt;MG&lt;/P&gt;</description>
      <pubDate>Thu, 04 Jun 2020 14:51:13 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/270723#M52695</guid>
      <dc:creator>G_M</dc:creator>
      <dc:date>2020-06-04T14:51:13Z</dc:date>
    </item>
    <item>
      <title>Re: Intraclass Correlation using a random effects model versus the MSA platform</title>
      <link>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/272470#M52990</link>
      <description>&lt;P&gt;Thank you &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/6898"&gt;@Laura_Lancaster&lt;/a&gt; for the clarification.&lt;/P&gt;
&lt;P&gt;would it be possible to produce a list of ICC measurements available in JMP in the context of this list:&lt;BR /&gt;&lt;A href="https://en.wikipedia.org/wiki/Intraclass_correlation#Calculation_in_software_packages" target="_blank"&gt;https://en.wikipedia.org/wiki/Intraclass_correlation#Calculation_in_software_packages&lt;/A&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Many thanks,&lt;/P&gt;
&lt;P&gt;Ron&lt;/P&gt;</description>
      <pubDate>Fri, 12 Jun 2020 19:37:52 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Intraclass-Correlation-using-a-random-effects-model-versus-the/m-p/272470#M52990</guid>
      <dc:creator>ron_horne</dc:creator>
      <dc:date>2020-06-12T19:37:52Z</dc:date>
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