Hi Amanda
it really depends what your goal is. If you want to estimate the noise
for a power analysis and you are going to process the data longitudinally,
then certainly you should use the longitudinal stream to measure the
reliability
cheers
Bruce
On Wed, 20 Sep 2017, Worker, Amanda wrote:
Hi all,
I have a longitudinal dataset that I'd like to calculate test-retest
reliability for. However, I am
not sure whether to calculate this for the cross-sectionally processed data or
longitudinal data? It
would seem to make sense to use the cross-sectional data, as the time points
are independent, but
then it means that the test-retest results would not be applicable in a dataset
processed
longitudinally. On the other hand, calculating reliability metrics for data
processed in the exact
same way as will be used in further studies seems to make sense also, but would
calculating
test-retest on the longitudinally processed data bias the results, as the data
points are not fully
independent?
Does anyone have any idea of the best way forward?
Thanks,
A
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