For the descriptive purposes, I am looking at the (Pearson) correlation coefficients between 6 variables over 4 periods separately. Thus, I computed the correlation between 15 pairs. I am doing a cross-sectional study before I start the longitudinal analysis (i.e. over 4 periods). However, as I am currently reporting the correlation coefficients for each time point (i.e. "cross-section"), it feels weird not to say anything about how they seem to evolve over time.
Now, it is easy to miss something or give a biased / subjective view when comparing 15 coefficients with 15 coefficients for example. Hence, I thought it would probably make sense to take the sum of the correlations for each variable and plot it as a line graph over time.
Does it make sense to do this; purely for descriptive purposes? So I get a picture of each variable how its overall correlation (relative to other items at the same time point) changes over time?