I am personally pretty sure it is not quite right. But unfortunately I
cannot claim I am a huge expert on dyadic and triadic data. I know
there's been a couple of books out about analysis of dyadic data, but
I've been most convinced by the work of Peter Hoff from U Washington
who has thoroughly derived all those weird likelihoods that take into
account all the necessary symmetries in the data. How familiar are you
with those methods?
On Wed, Dec 17, 2008 at 8:05 AM, Christian Deindl
<[email protected]> wrote:
> hi,
>
> I have a question regarding the analysis of triads using multilevel-models.
>
> I'm conducting an international comparison of financial transfers from
> parents to their children.
> each respondent can have up to four children, and each child is an
> observation, with children nested within respondents nested within
> households nested within countries.
>
> So I have four levels.
> Since transfers are not only affected by the characteristics of children
> but also by parents I 'm trying to analyse triads.
>
> the datastructure is as follows:
>
> Triad Dyad(Parent) Dyad(Child) respondent
> 1 mother1 child 1 1
> 2 father1 child 1 1
> 3 mother1 child 2 1
> 4 father1 child 2 1
> 1 mother2 child 1 2
> 2 father2 child 1 2
> 3 mother2 child 2 2
> 4 father2 child 2 2
> . . .
> . . .
>
>
> two problems in regard to mulitlevel-analysis arise with this structure.
> 1) each child is doubled for each parent and for each respondent
> 2) parents are doubled with children, but unique for each respondent
>
> as far as I know this is a case of cross-classification.
>
> to deal with the nonindependence of children and parents I build a dummy
> variable for children (1 for the first appearance, zero for any further
> appearance) and for parents.
> this dummy-variables are included in the modell as random slopes for the
> respondents (see syntax below).
>
> since I couldn't find a clear expamle in the literature I'm not quite
> sure if I'm correct.
>
> Can anyone give me some advice?
>
> best regards,
>
> christian
>
>
>
> *Syntax:
>
> gen dumkind=1
> replace dumkind=0 if dyadKINDER==dyadKINDER[_n-1] & persid==persid[_n-1]
>
> gen dumeltern=1
> replace dumeltern=0 if dyad_e==dyad_e[_n-2] & persid==persid[_n-2]
>
>
> xtmelogit transfer_k /*
> */ || land: || hhid: || persid: dumkind dumeltern, or
>
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
>
--
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.
*
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