Hello Meta community, I am meta-analyzing a set of studies correlating a variable (Var1) with a set of other variables (Var2s). Each study uses a single scale to measure 'Var1' and correlates it with different 'Var2's (see data structure below). Conceptually, would it make more sense to consider ' Var2' nested as in: random = ~1| scale/ study/ Var2/ obs Or crossed with 'scales' and 'studies' as in: random = list(~1| scale/ study/ obs, ~1| Var2) Many thanks for your time and guidance, Yuhang Data structure is below: study scale Var2 obs ri 1 1 1 1 .5 1 1 2 2 .1 2 2 1 3 .3 3 2 2 4 .4 3 2 3 5 .6 4 1 1 6 .8 4 1 3 7 .7
[R-meta] Random-effects for correlational studies in rma.mv()
1 message · Yuhang Hu