<?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 When there is no interaction, can I use multiple comparison such as LSD or Tukey test? in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/When-there-is-no-interaction-can-I-use-multiple-comparison-such/m-p/343710#M59312</link>
    <description>&lt;DIV class="votecell post-layout--left"&gt;&lt;DIV class="js-voting-container grid jc-center fd-column ai-stretch gs4 fc-black-200"&gt;&lt;SPAN style="font-family: inherit;"&gt;I have three factors - Genotype (5 levels), Nitrogen (2 levels), and manipulation (2 levels).&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV class="js-voting-container grid jc-center fd-column ai-stretch gs4 fc-black-200"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;&lt;DIV class="postcell post-layout--right"&gt;&lt;DIV class="s-prose js-post-body"&gt;&lt;P&gt;I'm interested in the combination of three factors. I'd like to check how average grain weight responds to defoliation under the different nitrogen conditions. When I analyze it as the full factorial, there was no interaction among genotype x nitrogen x manipulation.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Table.jpg" style="width: 877px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/29064i3ABDF142A27DCC6F/image-size/large?v=v2&amp;amp;px=999" role="button" title="Table.jpg" alt="Table.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;However, I want to indicate the difference in grain weight. So I checked the Tukey test and put the letter on the graph like below.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Figure.jpg" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/29065iCAE62453BEC5695C/image-size/large?v=v2&amp;amp;px=999" role="button" title="Figure.jpg" alt="Figure.jpg" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question is when there is no interaction, and I used multiple comparisons using Tukey test, how to suggest the p-value of this difference? In this graph, grain weight is greatest in CV2 control under the Nitrogen treatment I, and lowest in CV5 defoliation under the Nitrogen treatment II.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If someone asks me what the p-value of this difference is, how can I present the p-value?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Or, if there is no interaction, the multiple comparisons of the combination is not correct? and only the comparisons per the main factors (which are significant) is correct?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Could you tell me how to compare the mean of combinations when there is no interaction?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Always thanks!!!&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
    <pubDate>Fri, 09 Jun 2023 00:26:36 GMT</pubDate>
    <dc:creator>JK</dc:creator>
    <dc:date>2023-06-09T00:26:36Z</dc:date>
    <item>
      <title>When there is no interaction, can I use multiple comparison such as LSD or Tukey test?</title>
      <link>https://community.jmp.com/t5/Discussions/When-there-is-no-interaction-can-I-use-multiple-comparison-such/m-p/343710#M59312</link>
      <description>&lt;DIV class="votecell post-layout--left"&gt;&lt;DIV class="js-voting-container grid jc-center fd-column ai-stretch gs4 fc-black-200"&gt;&lt;SPAN style="font-family: inherit;"&gt;I have three factors - Genotype (5 levels), Nitrogen (2 levels), and manipulation (2 levels).&lt;/SPAN&gt;&lt;/DIV&gt;&lt;DIV class="js-voting-container grid jc-center fd-column ai-stretch gs4 fc-black-200"&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;&lt;DIV class="postcell post-layout--right"&gt;&lt;DIV class="s-prose js-post-body"&gt;&lt;P&gt;I'm interested in the combination of three factors. I'd like to check how average grain weight responds to defoliation under the different nitrogen conditions. When I analyze it as the full factorial, there was no interaction among genotype x nitrogen x manipulation.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Table.jpg" style="width: 877px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/29064i3ABDF142A27DCC6F/image-size/large?v=v2&amp;amp;px=999" role="button" title="Table.jpg" alt="Table.jpg" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;However, I want to indicate the difference in grain weight. So I checked the Tukey test and put the letter on the graph like below.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Figure.jpg" style="width: 999px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/29065iCAE62453BEC5695C/image-size/large?v=v2&amp;amp;px=999" role="button" title="Figure.jpg" alt="Figure.jpg" /&gt;&lt;/span&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;My question is when there is no interaction, and I used multiple comparisons using Tukey test, how to suggest the p-value of this difference? In this graph, grain weight is greatest in CV2 control under the Nitrogen treatment I, and lowest in CV5 defoliation under the Nitrogen treatment II.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;If someone asks me what the p-value of this difference is, how can I present the p-value?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Or, if there is no interaction, the multiple comparisons of the combination is not correct? and only the comparisons per the main factors (which are significant) is correct?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Could you tell me how to compare the mean of combinations when there is no interaction?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Always thanks!!!&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Fri, 09 Jun 2023 00:26:36 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/When-there-is-no-interaction-can-I-use-multiple-comparison-such/m-p/343710#M59312</guid>
      <dc:creator>JK</dc:creator>
      <dc:date>2023-06-09T00:26:36Z</dc:date>
    </item>
    <item>
      <title>Re: When there is no interaction, can I use multiple comparison such as LSD or Tukey test?</title>
      <link>https://community.jmp.com/t5/Discussions/When-there-is-no-interaction-can-I-use-multiple-comparison-such/m-p/343844#M59330</link>
      <description>&lt;P&gt;I generally recommend using &lt;EM&gt;post hoc&lt;/EM&gt; tests after you select the model. Remove terms as indicated by best practices for model selection, and then consider the appropriate tests.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;These tests are based on the LS means and the levels associated with specific terms.&lt;/P&gt;</description>
      <pubDate>Tue, 22 Dec 2020 17:25:26 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/When-there-is-no-interaction-can-I-use-multiple-comparison-such/m-p/343844#M59330</guid>
      <dc:creator>Mark_Bailey</dc:creator>
      <dc:date>2020-12-22T17:25:26Z</dc:date>
    </item>
  </channel>
</rss>

