I’ve read through some documents/watched some videos to better understand the concept behind a cross correlation, but I am having trouble finding a good explanation of the results I am getting after analyzing my data.
I ran a time series correlation and found correlations were, overall, low to moderate for all of my trials. Then I ran a normalized cross correlation and found that at 0 lags, all of my trials were ~0.9, indicating a very large positive relationship.
Am I correct in my understanding that this means the data is, when matched in time, highly related? But, due to the constrains of the experiment, hardware, etc that in real-time there is a discrepancy in time that lead to the low-moderate relationship I found with a regular correlation?
Any resources of help would be much appreciated!