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# Don’t Know how using on excel and choose the good test

Hello Everyone !

I use Jasp for my first study but i’m little lost…

I’m doing 3 test’s on 2 person who have a disease, I treating them and see the amelioration one week after.

One test is quantitative and the 2 Others are qualitatives

How i put my result on excel and what is the test i have to choose ?

Thank you !

• edited July 2023

Hi,

1. Putting your results in Excel: Based on your description, you have two individuals and three tests. I would suggest the following data layout in Excel: This table will provide a comparison of the results before and after treatment for both individuals.
2. Choose the test in JASP: Your data is paired, as each person was tested before and after treatment, requiring tests that account for this. For quantitative data, consider a paired t-test to compare the means of before and after scores and determine if there is a significant difference. For qualitative data, where descriptors may be ranked as 1 'poor', 2 'fair', 3 'good', 4 'excellent', a Wilcoxon Signed-Rank Test, a non-parametric test, may be useful for comparing paired groups without assuming normality.
• Hi,

1. Putting your results in Excel: Based on your description, you have two individuals and three tests. I would suggest the following data layout in Excel. This table will provide a clear comparison of the results before and after treatment for both individuals.
2. Choose the test in JASP: Your data is paired, as each person was tested before and after treatment, requiring tests that account for this. For quantitative data, consider a paired t-test to compare the means of before and after scores and determine if there is a significant difference. For qualitative data, where descriptors may be ranked as 1 'poor', 2 'fair', 3 'good', or 4 'excellent', a Wilcoxon Signed-Rank Test, a non-parametric test, may be useful for comparing paired groups without assuming normality.
• I agree with pchs0114 except that if there are really only two individuals, it's not worth doing any kind of statistical test. Two is not enough to be convincing.

R