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From |
"Stas Kolenikov" <skolenik@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: complex multilevel analysis |

Date |
Wed, 17 Dec 2008 12:25:57 -0600 |

There's a new book edited by Card, Selig and Little -- have you seen it yet? Does it have any leads towards your kind of data? Peter Hoff's web page is http://www.stat.washington.edu/hoff, there are links to papers and R software. On Wed, Dec 17, 2008 at 11:57 AM, Christian Deindl <deindl@soziologie.uzh.ch> wrote: > I am familiar with books and papers on dyadic data like > Snijders & Kenny 1999 and Kenny, Kashy, & Cook 2006, but their approach is > somewhat different and doesn't really suit my kind of data. > I have no knowledge of the methods applied by Peter Hoff. > > All my dyadic data analysis are working fine. > > I just recently started with triadic data and I've never seen a paper on it. > So I try to follow the methods in dealing with cross classified date as > described in Hox 2002 and mix it with the "Social Relation Model" from > Snijders & Kenny 1999. > > I am pretty sure that I'm close to a working solution, but something is > still not quite right. > > christian > > > > Stas Kolenikov schrieb: >> >> 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 >> <deindl@soziologie.uzh.ch> 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/ >>> >> >> >> > > -- > __________________ > Christian Deindl > Universität Zürich > Soziologisches Institut > Andreasstr. 15 > CH - 8050 Zürich > Tel: 0041/(0)44/635 23 46 > > http://www.suz.unizh.ch/ages > * > * 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. * * 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/

**References**:**st: complex multilevel analysis***From:*Christian Deindl <deindl@soziologie.uzh.ch>

**Re: st: complex multilevel analysis***From:*"Stas Kolenikov" <skolenik@gmail.com>

**Re: st: complex multilevel analysis***From:*Christian Deindl <deindl@soziologie.uzh.ch>

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