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    <title>topic Re: How to measure the effect size of fixed effects in a mixed model including random factors ? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11315#M10852</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;Hi, Jennifer!&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;You don't mention what version of JMP you're using for your analysis.&amp;nbsp; If you're using JMP11Pro, there's a Mixed Model personality in the Fit Model platform that clearly outputs a plethora of Fixed Effects reports.&amp;nbsp; Don't despair if you aren't using JMP11Pro...although an upgrade couldn't hurt...&amp;nbsp; &lt;SPAN __jive_emoticon_name="silly" __jive_macro_name="emoticon" class="jive_macro jive_macro_emoticon jive_emote" src="https://community.jmp.com/7.0.1.0/images/emoticons/silly.png"&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;Random and Mixed effects models are sometimes referred to as Variance Components models.They have a long history, stretching back to at least 1861, with voluminous literature, especially recently.&amp;nbsp; In particular, I would point you towards Milliken and Johnson's &lt;SPAN style="text-decoration: underline;"&gt;Analysis of Messy Data Volume I&lt;/SPAN&gt;, which has an entire section on the Analysis of Fixed Part of the Mixed Model.&amp;nbsp; The same George Milliken wrote a paper with Annie Dudley and John Sall for SUGI25 in 2000 called "Mixed Models Analysis Using JMP® Software 4.0", so JMP has righteously supported Mixed Model analysis for quite a while!&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;The primary interest in Variance Component models is in the estimation of the variances of the random effects.&amp;nbsp; That's why the Standard Least Squares report seems to concentrate on them.&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;Find the Least Squares Means table.&amp;nbsp; It will give you estimates of the effect sizes.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 11 Mar 2015 19:28:22 GMT</pubDate>
    <dc:creator>Kevin_Anderson</dc:creator>
    <dc:date>2015-03-11T19:28:22Z</dc:date>
    <item>
      <title>How to measure the effect size of fixed effects in a mixed model including random factors ?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11314#M10851</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi,&lt;/P&gt;&lt;P&gt;I am analyzing a model (Personality: Standards Least Squares, Method REML) with 3 Fixed Effects and 4 random Effects.&lt;/P&gt;&lt;P&gt;I can see on the report the contribution of the variance of each random effect, but I cannot find where can I calculate the effect size of my fixed Effects.&lt;/P&gt;&lt;P&gt;Any help, will be greatly appreciated.&lt;/P&gt;&lt;P&gt;Cheers&lt;/P&gt;&lt;P&gt;Jennifer.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 11 Mar 2015 14:45:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11314#M10851</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2015-03-11T14:45:40Z</dc:date>
    </item>
    <item>
      <title>Re: How to measure the effect size of fixed effects in a mixed model including random factors ?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11315#M10852</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;Hi, Jennifer!&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;You don't mention what version of JMP you're using for your analysis.&amp;nbsp; If you're using JMP11Pro, there's a Mixed Model personality in the Fit Model platform that clearly outputs a plethora of Fixed Effects reports.&amp;nbsp; Don't despair if you aren't using JMP11Pro...although an upgrade couldn't hurt...&amp;nbsp; &lt;SPAN __jive_emoticon_name="silly" __jive_macro_name="emoticon" class="jive_macro jive_macro_emoticon jive_emote" src="https://community.jmp.com/7.0.1.0/images/emoticons/silly.png"&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;Random and Mixed effects models are sometimes referred to as Variance Components models.They have a long history, stretching back to at least 1861, with voluminous literature, especially recently.&amp;nbsp; In particular, I would point you towards Milliken and Johnson's &lt;SPAN style="text-decoration: underline;"&gt;Analysis of Messy Data Volume I&lt;/SPAN&gt;, which has an entire section on the Analysis of Fixed Part of the Mixed Model.&amp;nbsp; The same George Milliken wrote a paper with Annie Dudley and John Sall for SUGI25 in 2000 called "Mixed Models Analysis Using JMP® Software 4.0", so JMP has righteously supported Mixed Model analysis for quite a while!&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;The primary interest in Variance Component models is in the estimation of the variances of the random effects.&amp;nbsp; That's why the Standard Least Squares report seems to concentrate on them.&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;&lt;/P&gt;&lt;P style="font-size: 13.3333330154419px;"&gt;Find the Least Squares Means table.&amp;nbsp; It will give you estimates of the effect sizes.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 11 Mar 2015 19:28:22 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11315#M10852</guid>
      <dc:creator>Kevin_Anderson</dc:creator>
      <dc:date>2015-03-11T19:28:22Z</dc:date>
    </item>
    <item>
      <title>Re: How to measure the effect size of fixed effects in a mixed model including random factors ?</title>
      <link>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11316#M10853</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Thanks...&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Thu, 26 Mar 2015 14:25:39 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/How-to-measure-the-effect-size-of-fixed-effects-in-a-mixed-model/m-p/11316#M10853</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2015-03-26T14:25:39Z</dc:date>
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