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From |
ravi0023@umn.edu |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: Jointly testing mean differences among two groups for 2 variables using survey data |

Date |
23 Feb 2008 16:34:29 -0600 |

I am trying to post this message again from my other email account, because I can not see the post from my other account.....

Hello everyone!

I have a data base with 2 different test scores and two groups, a treatment group and a control group. I have managed to test whether the mean of each test scores is different among the two groups using svymean and then lincom in this way:

svy: mean testA, over(treatment)

lincom [testA]1-[testA]0

svy: mean testB, over(treatment)

lincom [testB]1-[testB]0

What I want to do is jointly test whether both variables (testA and testB) are jointly statistically different among the two groups, but incorporating the sample design in my estimation.

I have tryed to do this using the command "test", but it doesn't seem to work. I was also thinking in estimate two models like these:

testa= a + b (treatment)

testb= c + d (treatment)

and then jointly estimate whether both b and d are equal to zero. The problem is that I would need to use some sort of multiple-equation estimation in order to use "test", but I can not find an option to do that incorporating the sample design.

Hope somebody can help me to figure this out...

Thanks in advance!

Renato

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**Follow-Ups**:**Re: st: Jointly testing mean differences among two groups for 2 variables using survey data***From:*"Austin Nichols" <austinnichols@gmail.com>

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