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So let's say I have 10 participants per condition (2 conditions). Is it necessary to visualize for each participant per condition or is it okay to visualize a long data format of 10 participants for both condition. Here I would get 2 graphs and subsequent parameter values, whereas in the former I would have 20 graphs and values.

I would like to know what is the advantage of plotting per participant if any?
My aim is hypothesis testing btw a control and experimental condition.

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With an N as small as this, I opted for both. I did one experiment, where I did actually show a facet wrap of all 40 participants, as my results were visible for the plain eye. It depends very much on the type of your data, if this makes sense or not.

Can you see anything on a participant data level or do you need the data to be aggregated to show your effects?

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