title: How do I calculate 95% CI for Krippendorf's Alpha in R?
body: <p>I'm looking for guidance on how to calculate the 95% confidence intervals for Krippendorf's alpha coefficients in R. I've already calculated the coefficients: </p>
  
  <pre><code>key2 &lt;- data.frame("rater1"=as.vector(t(rater1[2,])), "rater2"=as.vector(t(rater2[2,])))
  
  key2 &lt;- t(as.matrix(key2))
  kripp.alpha(key2, method="ordinal")
  
  Results: n=30, 2 raters, Alpha = 0.767
  </code></pre>
  
  <p>Previous forums suggesting conventional bootstrapping techniques don't seem to be the right course of action:</p>
  
  <ul>
  <li><a href="https://stackoverflow.com/questions/32952366/bootstrapping-krippendorffs-alpha">Bootstrapping Krippendorff&#39;s Alpha</a></li>
  <li><a href="https://stackoverflow.com/questions/41944703/how-to-compute-confidence-intervall-for-krippendorfs-alpha-in-r">How to compute confidence intervall for Krippendorf&#39;s Alpha in R?</a></li>
  </ul>
  
  <p>Not sure if this is also helpful: <a href="http://web.asc.upenn.edu/usr/krippendorff/boot.c-Alpha.pdf" rel="nofollow noreferrer">http://web.asc.upenn.edu/usr/krippendorff/boot.c-Alpha.pdf</a></p>