<?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 Multiple choice pre/post test comparison in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-choice-pre-post-test-comparison/m-p/47341#M2061</link>
    <description>Hello,&lt;BR /&gt;
&lt;BR /&gt;
I am analyzing the results of pre/post surveys and when I coded in the responses, I assigned '1' for correct and '0' for incorrect.  However, with some of these questions, there were four possible responses (a,b,c,d).  My question is: In analyzing this data (doing a Pearsons or Fisher) how do I account for the 4 choice possibility with these specific questions?  I have been able to figure out to weight singular observations but not how to weight variables... I'm not even sure that I'm on the right track with this.&lt;BR /&gt;
&lt;BR /&gt;
Does anyone have any suggestions??&lt;BR /&gt;
&lt;BR /&gt;
Thank you!!!!!!!!&lt;BR /&gt;
Alexandra</description>
    <pubDate>Tue, 26 Jan 2010 19:36:12 GMT</pubDate>
    <dc:creator>alexita</dc:creator>
    <dc:date>2010-01-26T19:36:12Z</dc:date>
    <item>
      <title>Multiple choice pre/post test comparison</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-choice-pre-post-test-comparison/m-p/47341#M2061</link>
      <description>Hello,&lt;BR /&gt;
&lt;BR /&gt;
I am analyzing the results of pre/post surveys and when I coded in the responses, I assigned '1' for correct and '0' for incorrect.  However, with some of these questions, there were four possible responses (a,b,c,d).  My question is: In analyzing this data (doing a Pearsons or Fisher) how do I account for the 4 choice possibility with these specific questions?  I have been able to figure out to weight singular observations but not how to weight variables... I'm not even sure that I'm on the right track with this.&lt;BR /&gt;
&lt;BR /&gt;
Does anyone have any suggestions??&lt;BR /&gt;
&lt;BR /&gt;
Thank you!!!!!!!!&lt;BR /&gt;
Alexandra</description>
      <pubDate>Tue, 26 Jan 2010 19:36:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-choice-pre-post-test-comparison/m-p/47341#M2061</guid>
      <dc:creator>alexita</dc:creator>
      <dc:date>2010-01-26T19:36:12Z</dc:date>
    </item>
    <item>
      <title>Re: Multiple choice pre/post test comparison</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Multiple-choice-pre-post-test-comparison/m-p/47342#M2062</link>
      <description>Are the response levels ordinal or just categorical?  What sort of hypothesis/hypotheses do you have about the pre/post survey responses with regard to these multiple choice variables?  For that matter, do you have hypotheses to test or do you simply want to present descriptive statistics?&lt;BR /&gt;
&lt;BR /&gt;
As you can see, there is a lot of information that you have left out.  I may not have asked all of the questions that would need to be addressed, but the questions that I have asked should get you started toward describing more fully just what it is that you need.</description>
      <pubDate>Wed, 27 Jan 2010 21:18:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Multiple-choice-pre-post-test-comparison/m-p/47342#M2062</guid>
      <dc:creator>Dale</dc:creator>
      <dc:date>2010-01-27T21:18:50Z</dc:date>
    </item>
  </channel>
</rss>

