Hello,
in this experiment subjects are patients in a hospital. I have two factors:
Factor A (2 levels)
Factor B (2 levels)
I am also doing repeated measures so for each combination of A*B, I will do 3 measures in total.
This means that for each patient I will have 12 rows in a table.
I am measuring two values (they are related to blood pressure and lung capacity), so I will have 24 responses in total for each patient, 12 values for Response 1, and 12 values for Response 2.
You can check an example of the data for a single patient in the attachment.
The goal of the test would be to check if variables Response 1 and Response 2 are correlated.
The questions I have are:
1. What test to use in this situation?
2. How to calculate the needed sample size, ie. how many patients would I need to make a strong conclusion about correlation of these two variables?
Thanks!
in this experiment subjects are patients in a hospital. I have two factors:
Factor A (2 levels)
Factor B (2 levels)
I am also doing repeated measures so for each combination of A*B, I will do 3 measures in total.
This means that for each patient I will have 12 rows in a table.
I am measuring two values (they are related to blood pressure and lung capacity), so I will have 24 responses in total for each patient, 12 values for Response 1, and 12 values for Response 2.
You can check an example of the data for a single patient in the attachment.
The goal of the test would be to check if variables Response 1 and Response 2 are correlated.
The questions I have are:
1. What test to use in this situation?
2. How to calculate the needed sample size, ie. how many patients would I need to make a strong conclusion about correlation of these two variables?
Thanks!
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