(For this comment, I searched for “smoking IQ conscientiousness correlation” without the quotes, to give an example.) Then I just reuse those numbers for whatever analysis I’d like to do. This is risky because two variables can correlate differently in different populations. To reduce that risk I try to use the estimate from the population most similar to the population I have in mind, or I try estimating the correlation myself in a public use dataset that happens to include both variables and the population I want.
You never try to meta-analyze them with perhaps a state or country moderator?
You never try to meta-analyze them with perhaps a state or country moderator?
I misunderstood you again; for some reason I got it into my head that you were asking about getting a point estimate of a secondary correlation that enters (as a nuisance parameter) into a meta-analysis of some primary quantity.
Yeah, if I were interested in a population-level correlation in its own right I might of course try meta-analyzing it with moderators like state or country.
You never try to meta-analyze them with perhaps a state or country moderator?
I misunderstood you again; for some reason I got it into my head that you were asking about getting a point estimate of a secondary correlation that enters (as a nuisance parameter) into a meta-analysis of some primary quantity.
Yeah, if I were interested in a population-level correlation in its own right I might of course try meta-analyzing it with moderators like state or country.