<?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 Degrees of freedom in post-hoc t-tests in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Degrees-of-freedom-in-post-hoc-t-tests/m-p/11053#M10630</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi, I have a question regarding the post-hoc t-tests in JMP. I run a repeated measures ANOVA with one random and two fixed factors. The two-way interaction between the fixed factors is included. (Y=random(A) + A + B + A*B). Following a significant A*B effect, I use the 'effect details' option to do post-hoc t-tests, Bonferroni-corrected for the number of comparisons. But. When I chose 'detailed comparison' in the t-test, to check the t-value and degrees of freedom, I get degrees of freedom that are a lot higher than i would expect, and that also vary from one Y variable to another, EVEN when I have the same number of independent datapoints for each Y. Has anyone run into this and knows how the dfs are calculated for these tests? Help much appreciated!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Mon, 23 Feb 2015 12:15:10 GMT</pubDate>
    <dc:creator>janicke_nordgre</dc:creator>
    <dc:date>2015-02-23T12:15:10Z</dc:date>
    <item>
      <title>Degrees of freedom in post-hoc t-tests</title>
      <link>https://community.jmp.com/t5/Discussions/Degrees-of-freedom-in-post-hoc-t-tests/m-p/11053#M10630</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi, I have a question regarding the post-hoc t-tests in JMP. I run a repeated measures ANOVA with one random and two fixed factors. The two-way interaction between the fixed factors is included. (Y=random(A) + A + B + A*B). Following a significant A*B effect, I use the 'effect details' option to do post-hoc t-tests, Bonferroni-corrected for the number of comparisons. But. When I chose 'detailed comparison' in the t-test, to check the t-value and degrees of freedom, I get degrees of freedom that are a lot higher than i would expect, and that also vary from one Y variable to another, EVEN when I have the same number of independent datapoints for each Y. Has anyone run into this and knows how the dfs are calculated for these tests? Help much appreciated!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Mon, 23 Feb 2015 12:15:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Degrees-of-freedom-in-post-hoc-t-tests/m-p/11053#M10630</guid>
      <dc:creator>janicke_nordgre</dc:creator>
      <dc:date>2015-02-23T12:15:10Z</dc:date>
    </item>
  </channel>
</rss>

