manage "time" in longitudinal dyadic MCMC model
Posted: Mon Sep 26, 2022 1:37 pm
Hi,
I have a dyadic data set with repeated measures. The time variable refers to the census years (6 consecutive years in total). In a non-dyadic setting, I think time would be a level-1 variable. In a dyadic setting I am not so sure. The existence of the dyad is based on time, so time is equivalent for both individuals (in the absence of one individual in the census the dyad does not exist in the dataset). However, the other individual might have other "active" dyads for that specific year. Also, time is closely correlated to age since the data covers more than 60 years. How should I treat time in that context? Thanks,
I have a dyadic data set with repeated measures. The time variable refers to the census years (6 consecutive years in total). In a non-dyadic setting, I think time would be a level-1 variable. In a dyadic setting I am not so sure. The existence of the dyad is based on time, so time is equivalent for both individuals (in the absence of one individual in the census the dyad does not exist in the dataset). However, the other individual might have other "active" dyads for that specific year. Also, time is closely correlated to age since the data covers more than 60 years. How should I treat time in that context? Thanks,