18.8 - Summary

In this lesson, among other things, we learned how to:

  • recognize appropriate use of Pearson correlation, Spearman correlation, Kendall’s tau-b and Cohen’s Kappa statistics.
  • use a SAS program to produce confidence intervals for correlation coefficients and interpret the results.
  • adapt a SAS program to produce the correlation coefficients, their confidence intervals and Kendall’s tau-b.
  • recognize situations that call for the use of a statistic measuring concordance.
  • distinguish between a concordance correlation coefficient and a Kappa statistic based on the type of data used for each.
  • interpret a concordance correlation coefficient and a Kappa statistic.