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    <title>topic Re: MANCOVA  in JMP in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/MANCOVA-in-JMP/m-p/62145#M33480</link>
    <description>&lt;P&gt;Just a quick clarification: if you have just 1 response, it's just regular ANCOVA or ANOVA.&amp;nbsp; The "M" is for "Multivariate" which specifically means multiple response variables.&amp;nbsp; The distinction is important because you would use a different platform.&lt;/P&gt;&lt;P&gt;You can use Fit Model for the analysis.&amp;nbsp; Include the main effects for your independent variable and the covariate in the model.&amp;nbsp; Including the interaction between those factors will allow you to test if the slope for pre-tests scores is consistent across the different levels of your categorical factor.&lt;/P&gt;</description>
    <pubDate>Tue, 03 Jul 2018 17:45:54 GMT</pubDate>
    <dc:creator>cwillden</dc:creator>
    <dc:date>2018-07-03T17:45:54Z</dc:date>
    <item>
      <title>MANCOVA  in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/MANCOVA-in-JMP/m-p/62111#M33463</link>
      <description>&lt;P&gt;Hi,&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am a new user of JMP and I've just started to learn how to perform MANOVA. However, I am not sure I understand how to perform MANCOVA with JMP.&amp;nbsp;&lt;/P&gt;&lt;P&gt;I am trying to show the difference between the control and the experiment group is significant.&amp;nbsp;&lt;/P&gt;&lt;P&gt;The independent variable have 4 levels&lt;/P&gt;&lt;P&gt;I have one dependent variable which is the response time.&lt;/P&gt;&lt;P&gt;The covariate is the pre-test scores.&amp;nbsp;&lt;/P&gt;&lt;P&gt;any suggestions on how to do&amp;nbsp;this in JMP&lt;/P&gt;&lt;P&gt;thanks&lt;/P&gt;</description>
      <pubDate>Tue, 03 Jul 2018 13:30:11 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/MANCOVA-in-JMP/m-p/62111#M33463</guid>
      <dc:creator>NeF</dc:creator>
      <dc:date>2018-07-03T13:30:11Z</dc:date>
    </item>
    <item>
      <title>Re: MANCOVA  in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/MANCOVA-in-JMP/m-p/62145#M33480</link>
      <description>&lt;P&gt;Just a quick clarification: if you have just 1 response, it's just regular ANCOVA or ANOVA.&amp;nbsp; The "M" is for "Multivariate" which specifically means multiple response variables.&amp;nbsp; The distinction is important because you would use a different platform.&lt;/P&gt;&lt;P&gt;You can use Fit Model for the analysis.&amp;nbsp; Include the main effects for your independent variable and the covariate in the model.&amp;nbsp; Including the interaction between those factors will allow you to test if the slope for pre-tests scores is consistent across the different levels of your categorical factor.&lt;/P&gt;</description>
      <pubDate>Tue, 03 Jul 2018 17:45:54 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/MANCOVA-in-JMP/m-p/62145#M33480</guid>
      <dc:creator>cwillden</dc:creator>
      <dc:date>2018-07-03T17:45:54Z</dc:date>
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