I'm doing a bivariate Cholesky decomposition between two variables that were measured at two different time points. I know that it's normally best practice to adjust variables for age and sex effects, and I see many different threads on this board that have discussed how to add covariates to an ACE model. Two questions:
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For my purposes, should I regress out sex and age at time point 1 for the first variable and then regress out sex and age at time point 2 for the second variable?
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Is there any problem with using residualized variables rather than building the adjustment into the OpenMX script?
Many thanks for any insights.