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Re: st: Actor-partner Interdependence Model data structure (redo)
From
Scott Merryman <[email protected]>
To
[email protected]
Subject
Re: st: Actor-partner Interdependence Model data structure (redo)
Date
Sat, 28 Apr 2012 17:53:00 -0500
clear
input egoid egodelinq egoattach altid altdelinq altattach
111 3 4 222 8 9
444 5 1 333 2 7
end
gen dyad = _n
rename (egoid altid) (person1 person2)
reshape long person,i(dy)
order dy person egod altd egoa alta
bys dy: replace egodel = altdel[_n-1] if _j ==2
bys dy: replace altdel = egodel[_n-1] if _j ==2
gen attachment = egoa if _j ==1
replace attach = alta if _j ==2
drop egoa alta _j
l
Scott
On Sat, Apr 28, 2012 at 1:30 PM, Carter Rees <[email protected]> wrote:
>
> Sorry for the messy format of the previous post.
>
> Hi Statalisters,
>
> I am trying to structure my data as a pairwise data set (see Kenny,
> Kashy, Cook (2006) Dyadic Data Analysis) and then run a multilevel
> APIM model.
>
> My data set is currently at the individual level as follows:
>
> egoid egodelinq egoattach altid altdelinq altattach
> 111 3 4 222 8 9
> 444 5 1 333 2 7
>
> What I would like it to look like (also individual level):
>
> dyad person egodelinq altdelinq attachment
> 1 111 3 8 4
> 1 222 8 3 9
> 2 444 5 2 1
> 2 333 2 5 7
>
> The outcome variable is friendship attachment level. The predictor
> variables are ego delinquency and alter (friend) delinquency. Each
> individual's outcome score is associated with both his or her own
> predictor scores and his or her partner's scores.
>
> Much appreciated,
>
> Carter
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