I don't get a clear picture of what your data look like. We have countries, groups and individuals floating around in perfect fuzziness. Let me try again.
1. Do your data look like this? i.e. one observation, one country.
Country Income group
x 1
y 2
z 2
w 3
2. Or do you have replicates (e.g. areas, individuals) within each country?
i.e. several observations for each country.
3. Or do you have something else? If so, give an example.
Please answer: 1, 2 or 3.
Also, what do you mean when you say that you want a separate test for each income group?
No difference in what?
Nick
n.j.cox@durham.ac.uk
nigussie Tefera
Many thanks!
My data looks like eactly what you stated but country x has high, middle and low income groups (individuals) and the same is applied for country y, z and w. Now, I want to test, whether there is statistically significant difference among high income groups across countries. The same is also true for mindle and low income groups. In short: the null hypothesis is no difference among countries for low, middle and high income groups (I need separate test for each income groups)
Nick Cox <n.j.cox@durham.ac.uk>
These are your variables, but what is your data structure?
Do your data look like this?
Country Income group
x 1
y 2
z 2
w 3
Or do you have replicates (e.g. areas, individuals) within each country?
And what hypothesis are you testing?
nigussie Tefera
I have two categorical variables: namely incomecat (1=high,2=middle and 3=low income) and country ( labeled as (x, y, z, w)). Suppose that each country has high, middle and low income group. If I want to run paired test for each income group across countries, what stata command should I use?
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