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    <title>topic Re: Kappa Coefficient and Agreement Statistic in Discussions</title>
    <link>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8566#M8560</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;When one of the raters always says the same thing (Bob, in this case) Kappa is zero, by definition. You can show this by adding a weight variable and a dummy observation where Bob says N but with a weight of zero.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="6293_snip.PNG" style="width: 366px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/376iC8B6012C31C0D439/image-size/medium?v=v2&amp;amp;px=400" role="button" title="6293_snip.PNG" alt="6293_snip.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Tue, 18 Oct 2016 20:43:10 GMT</pubDate>
    <dc:creator>pgstats</dc:creator>
    <dc:date>2016-10-18T20:43:10Z</dc:date>
    <item>
      <title>Kappa Coefficient and Agreement Statistic</title>
      <link>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8564#M8558</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi all,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Assume that I have two columns, Bob and Mary, who rate four items with either a Y or a N. In the following case, no Agreement Statistic is present when doing Fit Y by X, because it appears that JMP thinks that Bob and Mary do not have the same categorical levels. How can I set column "Bob" to inform JMP that Bob can also take on values or Y or N? For example, if I change one of the columns in Bob to N, the Agreement Statistic feature is available again.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="6287_2014-05-12_20-32-34.png" style="width: 163px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/372i400BB3DFAC8D6ECB/image-size/medium?v=v2&amp;amp;px=400" role="button" title="6287_2014-05-12_20-32-34.png" alt="6287_2014-05-12_20-32-34.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;I feel like this should be specified in Column Properties somewhere, but I can't figure out how to make it work.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 18 Oct 2016 20:42:40 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8564#M8558</guid>
      <dc:creator>barik</dc:creator>
      <dc:date>2016-10-18T20:42:40Z</dc:date>
    </item>
    <item>
      <title>Re: Kappa Coefficient and Agreement Statistic</title>
      <link>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8565#M8559</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;Hi Titus,&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Try adding one more row to your data table with the N for Bob (either Y or N for Mary) and also add a Freq column with a 1 in every row except the new row – with the N in it for Bob – which should have a 0.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="6289_BobMaryFreq.png" style="width: 246px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/373iD186F696F363EF5F/image-size/medium?v=v2&amp;amp;px=400" role="button" title="6289_BobMaryFreq.png" alt="6289_BobMaryFreq.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;Use the Freq column in the Freq role in Fit Y by X and you should get the option for the Agreement Statistic.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="6290_BobMaryFreqFitYbyX.png" style="width: 632px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/374i92190C5175FD0DDE/image-size/medium?v=v2&amp;amp;px=400" role="button" title="6290_BobMaryFreqFitYbyX.png" alt="6290_BobMaryFreqFitYbyX.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="6291_FitYByX.png" style="width: 462px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/375iF948D81C2B02C796/image-size/medium?v=v2&amp;amp;px=400" role="button" title="6291_FitYByX.png" alt="6291_FitYByX.png" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;-Jeff&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 18 Oct 2016 20:43:00 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8565#M8559</guid>
      <dc:creator>Jeff_Perkinson</dc:creator>
      <dc:date>2016-10-18T20:43:00Z</dc:date>
    </item>
    <item>
      <title>Re: Kappa Coefficient and Agreement Statistic</title>
      <link>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8566#M8560</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P&gt;When one of the raters always says the same thing (Bob, in this case) Kappa is zero, by definition. You can show this by adding a weight variable and a dummy observation where Bob says N but with a weight of zero.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="6293_snip.PNG" style="width: 366px;"&gt;&lt;img src="https://community.jmp.com/t5/image/serverpage/image-id/376iC8B6012C31C0D439/image-size/medium?v=v2&amp;amp;px=400" role="button" title="6293_snip.PNG" alt="6293_snip.PNG" /&gt;&lt;/span&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;PG&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Tue, 18 Oct 2016 20:43:10 GMT</pubDate>
      <guid>https://community.jmp.com/t5/Discussions/Kappa-Coefficient-and-Agreement-Statistic/m-p/8566#M8560</guid>
      <dc:creator>pgstats</dc:creator>
      <dc:date>2016-10-18T20:43:10Z</dc:date>
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