<?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: How do i slice significant interaction in 2X2 factorial in SAS Procedures</title>
    <link>https://communities.sas.com/t5/SAS-Procedures/How-do-i-slice-significant-interaction-in-2X2-factorial/m-p/584253#M75754</link>
    <description>&lt;P&gt;There is a SLICE= option in the LSMEANS statement, that sounds like what you want.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_glm_syntax10.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en#statug.glm.lsmn_opt_slice"&gt;https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_glm_syntax10.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en#statug.glm.lsmn_opt_slice&lt;/A&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 27 Aug 2019 14:31:14 GMT</pubDate>
    <dc:creator>PaigeMiller</dc:creator>
    <dc:date>2019-08-27T14:31:14Z</dc:date>
    <item>
      <title>How do i slice significant interaction in 2X2 factorial</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-do-i-slice-significant-interaction-in-2X2-factorial/m-p/584131#M75753</link>
      <description>&lt;DIV class="lia-message-heading lia-component-message-header"&gt;
&lt;DIV class="lia-quilt-row lia-quilt-row-standard"&gt;
&lt;DIV class="lia-quilt-column lia-quilt-column-20 lia-quilt-column-left"&gt;
&lt;DIV class="lia-quilt-column-alley lia-quilt-column-alley-left"&gt;
&lt;DIV class="lia-message-subject"&gt;
&lt;H1&gt;How do I do slice test for effects when interaction is significant in 2 X 2 factorial&lt;/H1&gt;
&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN class="lia-message-subject-status"&gt;[&amp;nbsp;New&amp;nbsp;]&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;/SPAN&gt;
&lt;DIV class="MessageReadByModeratorCell lia-moderation-moderated"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;DIV class="lia-quilt-column lia-quilt-column-04 lia-quilt-column-right"&gt;
&lt;DIV class="lia-quilt-column-alley lia-quilt-column-alley-right"&gt;
&lt;DIV class="lia-message-options"&gt;
&lt;DIV id="actionMenuDropDown_0" class="lia-menu-navigation-wrapper lia-menu-action message-menu"&gt;
&lt;DIV class="lia-menu-navigation"&gt;
&lt;DIV class="dropdown-default-item"&gt;&lt;A id="dropDownLink_0" class="lia-js-menu-opener default-menu-option lia-js-click-menu lia-link-navigation" title="Show option menu" role="button" href="https://communities.sas.com/t5/Statistical-Procedures/How-do-I-do-slice-test-for-effects-when-interaction-is/m-p/583756#" aria-haspopup="true" aria-expanded="false" aria-label="Show option menu" target="_blank"&gt;Options&lt;/A&gt;
&lt;DIV class="dropdown-positioning"&gt;
&lt;DIV class="dropdown-positioning-static"&gt;&amp;nbsp;&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;
&lt;P class="lia-message-dates lia-message-post-date lia-component-post-date-last-edited"&gt;&amp;nbsp;&lt;/P&gt;
&lt;DIV id="messagebodydisplay_0" class="lia-message-body"&gt;
&lt;DIV class="lia-message-body-content"&gt;
&lt;P&gt;&amp;nbsp;Dear SIr/Ma,&lt;/P&gt;
&lt;P&gt;I had tried to analyse a 2 X2 factor experiment with PROC GLM. I reported the P-values for A, B and AB interaction.&lt;/P&gt;
&lt;P&gt;My SAS syntax was of this fashion:&lt;/P&gt;
&lt;P&gt;proc univariate plot normal;&lt;BR /&gt;title 'Trial4Digest';&lt;BR /&gt;var v1;&lt;BR /&gt;run;&lt;BR /&gt;Proc GLM Order = Data;&lt;BR /&gt;Class A B;&lt;BR /&gt;Model v1 = block A B A*B;&lt;BR /&gt;LSmeans A*B/TDIFF PDIFF P STDERR Adjust=tukey;&lt;BR /&gt;Run;&lt;BR /&gt;Quit;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;1. Where interaction was NOT SIGNIFICANT, I had used the simple effect of each factor to compare my means and report in result and discussion.&lt;/P&gt;
&lt;P&gt;2. Where interaction was SIGNIFICANT and either FActor A or B is Sig, or FActor A or B is NOT SIGNIFICANT, i had used tukey test to assign "abcd" to the means for comparisons.&lt;/P&gt;
&lt;TABLE width="100%"&gt;
&lt;TBODY&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD colspan="2" width="19%"&gt;
&lt;P&gt;A1&lt;/P&gt;
&lt;/TD&gt;
&lt;TD colspan="2" width="19%"&gt;
&lt;P&gt;A2&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD colspan="3" width="28%"&gt;
&lt;P&gt;&lt;EM&gt;P&lt;/EM&gt;-values&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;&lt;EM&gt;&lt;SUP&gt;3&lt;/SUP&gt;&lt;/EM&gt;Parameter&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;B-&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;B+&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;B-&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;B+&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;SEM&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;A&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;B&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;A*B&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;Ac&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;58.4&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;51.5&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;54.2&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;55.7&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.71&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;0.86&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.02&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;˂0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;Pro&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;20.5&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;23.3&lt;SUP&gt;a&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;22.5&lt;SUP&gt;a&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;23.2&lt;SUP&gt;a&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.39&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;0.07&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;&amp;lt;0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;0.05&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;Bu&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;15.5&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;18.8&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;17.5&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;15.8&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.37&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;0.40&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.19&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;˂0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;Bra&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;3.66&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;3.96&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;3.80&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;3.30&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.10&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;0.19&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.54&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;0.04&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;Val&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;1.95&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;2.39&lt;SUP&gt;a&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;1.98&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;2.00&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.06&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;0.02&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;&amp;lt;0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;TR&gt;
&lt;TD width="23%"&gt;
&lt;P&gt;Ap&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;3.03&lt;SUP&gt;a&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;2.25&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;2.46&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;2.43&lt;SUP&gt;b&lt;/SUP&gt;&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.09&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="9%"&gt;
&lt;P&gt;0.175&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="8%"&gt;
&lt;P&gt;0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;TD width="11%"&gt;
&lt;P&gt;0.01&lt;/P&gt;
&lt;/TD&gt;
&lt;/TR&gt;
&lt;/TBODY&gt;
&lt;/TABLE&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;This is the response of the reviewer:&lt;/P&gt;
&lt;P&gt;"&lt;SPAN&gt;&amp;nbsp;The use of Tukey's test to separate means is incorrect. Actually, it is not acceptable to use two statistical tests to show a difference between treatments (treatments and interaction effects and mean separation). I greatly discourage the authors from using mean separation when the effect of treatment (factor A, factor B and interaction) is displayed in the tables. A slice test can be used when the interaction is observed. Therefore Tables and text (where appropriate) should be corrected".&lt;/SPAN&gt;&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;SPAN&gt;I do not have a clue on the way forward on using this slice test and how to interpret the subsequent result. Any help to modify my syntax and report correctly will be appreciated.&amp;nbsp;&lt;/SPAN&gt;&lt;/P&gt;
&lt;/DIV&gt;
&lt;/DIV&gt;</description>
      <pubDate>Tue, 27 Aug 2019 06:28:34 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-do-i-slice-significant-interaction-in-2X2-factorial/m-p/584131#M75753</guid>
      <dc:creator>FestusAdejoro</dc:creator>
      <dc:date>2019-08-27T06:28:34Z</dc:date>
    </item>
    <item>
      <title>Re: How do i slice significant interaction in 2X2 factorial</title>
      <link>https://communities.sas.com/t5/SAS-Procedures/How-do-i-slice-significant-interaction-in-2X2-factorial/m-p/584253#M75754</link>
      <description>&lt;P&gt;There is a SLICE= option in the LSMEANS statement, that sounds like what you want.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;&lt;A href="https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_glm_syntax10.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en#statug.glm.lsmn_opt_slice"&gt;https://documentation.sas.com/?docsetId=statug&amp;amp;docsetTarget=statug_glm_syntax10.htm&amp;amp;docsetVersion=15.1&amp;amp;locale=en#statug.glm.lsmn_opt_slice&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 27 Aug 2019 14:31:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Procedures/How-do-i-slice-significant-interaction-in-2X2-factorial/m-p/584253#M75754</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2019-08-27T14:31:14Z</dc:date>
    </item>
  </channel>
</rss>

