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    <title>topic Best method of analysis of multiple dependent variables in JMP in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Best-method-of-analysis-of-multiple-dependent-variables-in-JMP/m-p/7495#M7489</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I need a predictive model for two response variables (that are dependent on each other) and multiple independent variables.&amp;nbsp; I'm not very statistics-savvy but am comfortable with multiple regression; however, I'm not sure of the best way to approach a problem with multiple dependent variables.&amp;nbsp; I've been studying some of the approaches (MANOVA, MANCOVA, multivariate multiple regression, structural equation modeling), but I'm not sure which would be the best approach for this situation.&amp;nbsp; Also, I'm limited to JMP (and the Fit Model Platform), which seems to limit some of the approaches I can use.&amp;nbsp; I could possibly purchase the SEM add-on, if that would get me the best results.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I would like any advice as to which of these methods would be best-suited for my problem especially the pros/cons of the various approaches.&amp;nbsp; Any literature that could point me in the right direction would be appreciated, also.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 24 Sep 2013 18:37:27 GMT</pubDate>
    <dc:creator>kcros</dc:creator>
    <dc:date>2013-09-24T18:37:27Z</dc:date>
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      <title>Best method of analysis of multiple dependent variables in JMP</title>
      <link>https://community.jmp.com/t5/Discussions/Best-method-of-analysis-of-multiple-dependent-variables-in-JMP/m-p/7495#M7489</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;I need a predictive model for two response variables (that are dependent on each other) and multiple independent variables.&amp;nbsp; I'm not very statistics-savvy but am comfortable with multiple regression; however, I'm not sure of the best way to approach a problem with multiple dependent variables.&amp;nbsp; I've been studying some of the approaches (MANOVA, MANCOVA, multivariate multiple regression, structural equation modeling), but I'm not sure which would be the best approach for this situation.&amp;nbsp; Also, I'm limited to JMP (and the Fit Model Platform), which seems to limit some of the approaches I can use.&amp;nbsp; I could possibly purchase the SEM add-on, if that would get me the best results.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I would like any advice as to which of these methods would be best-suited for my problem especially the pros/cons of the various approaches.&amp;nbsp; Any literature that could point me in the right direction would be appreciated, also.&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 24 Sep 2013 18:37:27 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Best-method-of-analysis-of-multiple-dependent-variables-in-JMP/m-p/7495#M7489</guid>
      <dc:creator>kcros</dc:creator>
      <dc:date>2013-09-24T18:37:27Z</dc:date>
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