Karabiner

TS Contributor
#2
But I don't know if this extreme reasoning is correct, or how to describe it in technical/statistical terms.
It isn't extreme. It is a correct reasoning. One can analyse such
data using a multivel model (complicated), or some kind of
repeated measures-analysis, or aggregate each individual's
5 responses in an appropriate way and use the aggregated
measure as dependent variable.

With kind regards

K.
 

Karabiner

TS Contributor
#3
Thank you for your time in looking at this. Can you point me in the right direction on what type of aggregation is "appropriate?"
That depends on the nature of the measurements
and on the research question.

E.g.. if one has 5 yes/no responses from each partcipant,
then it could be useful just to count the number of "yes"-
responses and use them in the analysis. I am not sure
what exactely your response variable is/response variables
are here, but maybe you can aggregate the 5 responses in
such a way that it suits your purposes.

Alternatively, if response sets are different from each other
and all 5 sets are the same for all participants, it might be
feasable to perform 5 analyses, but I am of course not sure
about that because I am not familiar with this area of research.

With kind regards

K.



With kind regards

K.