<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Re: Likert scale in correlation analysis in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/210963#M42247</link>
    <description>Hi,&lt;BR /&gt;Sorry, I'm not clear what you mean by " I have problems with the fitting of the likert scale data to find linearity among other things". Can you say more about this? What questions are you trying to answer with your correlation analysis?&lt;BR /&gt;Thanks,&lt;BR /&gt;Phil</description>
    <pubDate>Wed, 29 May 2019 07:58:07 GMT</pubDate>
    <dc:creator>Phil_Kay</dc:creator>
    <dc:date>2019-05-29T07:58:07Z</dc:date>
    <item>
      <title>Likert scale in correlation analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/208350#M41875</link>
      <description>&lt;P&gt;Hi all. I am working on my master thesis and are struggling with my correlation analysis.&lt;/P&gt;&lt;P&gt;My plan for the statistics from my survey are:&lt;/P&gt;&lt;OL&gt;&lt;LI&gt;Item analysis&lt;/LI&gt;&lt;LI&gt;PCA and factor analysis&lt;/LI&gt;&lt;LI&gt;Correlation analysis&lt;/LI&gt;&lt;LI&gt;Multiple regression&lt;/LI&gt;&lt;LI&gt;Cluster analysis.&lt;/LI&gt;&lt;/OL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;In my assumptions in correlation analysis I have problems with the fitting of the likert scale data to find linearity among other things. Is it better to use the factor scores from factor analysis of my independent variables or should I use my likert scale ratings, which is not continuous?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My dependant variable is also a likert scale.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Best regards&lt;/P&gt;</description>
      <pubDate>Tue, 14 May 2019 19:58:22 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/208350#M41875</guid>
      <dc:creator>MScMasterStuden</dc:creator>
      <dc:date>2019-05-14T19:58:22Z</dc:date>
    </item>
    <item>
      <title>Re: Likert scale in correlation analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/210963#M42247</link>
      <description>Hi,&lt;BR /&gt;Sorry, I'm not clear what you mean by " I have problems with the fitting of the likert scale data to find linearity among other things". Can you say more about this? What questions are you trying to answer with your correlation analysis?&lt;BR /&gt;Thanks,&lt;BR /&gt;Phil</description>
      <pubDate>Wed, 29 May 2019 07:58:07 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/210963#M42247</guid>
      <dc:creator>Phil_Kay</dc:creator>
      <dc:date>2019-05-29T07:58:07Z</dc:date>
    </item>
    <item>
      <title>Re: Likert scale in correlation analysis</title>
      <link>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/210965#M42249</link>
      <description>&lt;P&gt;Hi &lt;a href="https://community.jmp.com/t5/user/viewprofilepage/user-id/1888"&gt;@Phil_Kay&lt;/a&gt;. I am trying to figure, if there are any correlations which could influence on the multiple regression I do afterwards.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My problems is the assumptions on linearity, where it seems, that likert scales cannot be linear.&lt;/P&gt;&lt;P&gt;How can I see whether my sample has linearity or not?&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 29 May 2019 08:14:59 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Likert-scale-in-correlation-analysis/m-p/210965#M42249</guid>
      <dc:creator>MScMasterStuden</dc:creator>
      <dc:date>2019-05-29T08:14:59Z</dc:date>
    </item>
  </channel>
</rss>

