Dear all,

I am conducting a meta-regression analysis. With my team, we have doouble-coded many studies. This leaves us with two datasets of many variables with many observations, containing the same studies.

Every study has a unique ID. The goal is to compare two independent codes/ datasets (created by two coders) for every study. If they conincide, then I would kick out the duplicate. If they differ, I am interested in which variable do they differ so I can go back to the original study and find out the actual value for the respective variable.

I already appended the datasets/codes from both coders into one dataset. Hence, every ID is now represented two times in the dataset.
What would be the most efficient way to find out, which observations differ and in which specific variables (since I do nto want to go one by one variable for every observation)?

Many thanks.