Your data structure is now clear. Thanks for that.
I remain totally in the dark on what kind of test and what kind of
hypothesis you have in mind. You ask for a paried test but even a
guess that that is a typo for paired does not help me as I do not
see here a paired comparison of any kind.
What's more, advice is difficult if not foolish in the absence of
information on survey design.
Sorry not to be able to add more, but you didn't answer several
questions in my earlier post.
Naturally this doesn't inhibit others from answering your question.
Nick
[email protected]
nigussie Tefera
I am very sorry for stating my question in an ambiguous form. Here,
is an example
country individual income group
x 1 2
x 2 1
x 3 2
x 4 3
. . .
. . .
. . .
y 1 1
y 2 3
y 3 1
y 4 2
. . .
. . .
. . .
y 1 3
y 2 2
y 3 1
y 4 1
. . .
. . .
. . .
Now I want to generate the following table with paried test
(compared all countries)
Income group country
X y
z w paried test
1 count count count
count ?
2 count count count
count ?
3 count count count
count ?
If I want to fill all ? (question marks) what stata command should I
use? Note: I have no problem in producing count. By the way, count
can be either row or column percentages. I hope this will clarify
the issues
Nick Cox <[email protected]>
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
[email protected]
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 <[email protected]>
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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