# Can pearson's correlation coefficient be converted to Cohen's kappa?

I'm interested in meta-analysing the agreement between two measures. Depending on whether the variables are continuous/categorical/binary, different studies present agreement as either:

• A Pearson's correlation coefficient (for continuous variables)
• Intraclass correlation coefficient/weighted kappa (for categorical/ordinal variables)
• Cohen's kappa (for binary variables)

I understand that intraclass correlation coefficient is equivalent to a weighted kappa under certain conditions, which increases the comparability between the ICC and kappa.

Is there a way to convert a Pearson's correlation coefficient to an equivalent of Cohen's kappa?

• Even data are just binary (so correlation becomes the phi coefficient), correlation is not comparable with kappa. They differ in the denominator. So, if you don't have the 2x2 table itself, from which these associations are computed, you're at a deadlock. – ttnphns Feb 4 at 17:02