I think it's the other way round. Unless there is some joint survey
selecting people from different countries with the same probability in
each country, then there is some variable survey design here that must
be taken into consideration for a proper analysis.
Nick
[email protected]
David Airey
[...]
Unless you took care to identify all the person you could have
sampled, and you ensured each of those persons had an equal likelihood
of being sampled, it doesn't sound to me like you are in a position to
use survey statistics.
[...]
On Oct 7, 2008, at 7:22 AM, Nick Cox wrote:
> 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.
> 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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