Hi all,
I have a more statistics-related question regarding the type of data we can use to run SEMs. I recently conducted a study looking at the heritability of functional brain activity, and extracted t-values from our region-of-interest, and took those values to heritability analyses (using OpenMx). We conducted it this way as previous studies looking at similar research questions used this methodology (i.e., using t-values, rather than parameter estimates/beta weights; e.g., Blokland et al., 2011; Li et al., 2019). However, a reviewer has commented that this is wrong, and we should not be using t-values as they are just 'statistical indices'.
I was wondering if any experts could shed a light on whether there is an issue using t-values in SEM (or any regression models) - any help would be much appreciated, thank you.