Stats newbie here, please bear with me.
I've been researching inter-rater reliability in order to figure out what I will be using for my thesis study. The most common used test for this in my field/department is Cohen's Kappa. While researching it, I ran into varied papers criticizing it and I am also seeing questions here about how to report on seemingly strange Kappa values.
I ran into a paper written by Gwet in 2002 "Kappa Statistic is not Satisfactory for Assessing the Extent of Agreement Between Raters" and it shed some light as well as introduced a different alternative (AC1).
However, Cohen's Kappa still seems to be much, much more prevalent. Therefore, I am wondering if I am missing something, hence my question.
Are there good reasons to use Cohen's Kappa over Gwet's AC1?