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From |
Rahsaan Maxwell <rahsaan@polsci.umass.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: SV: Latent variable DVs in gllamm |

Date |
Wed, 11 Feb 2009 16:54:52 -0500 |

Thanks, this definitely helps. Does it look like I have set it up correctly? Because I have two questions. 1) If I run the following code I get this error message, which I am not sure I understand: 1 equations specified: response, need 2 2) Also, if I want to run a multilevel model with variables that analyze both the individual and the neighborhood level, is it correct to include the neighborhood grouping variable 'neighid' as I have done below? Thanks, -Rahsaan sort council courts police gen id=_n expand 3 sort id qui by id: gen response=_n gen item1=response==council gen item2=response==courts gen item3=response==police eq response : item1 item2 item3 eq latent : x1...x4 gllamm response, i(id neighid) eq(response) geq(latent) link(ologit) Quoting Stas Kolenikov <skolenik@gmail.com>: > You expand the data to create a single variable, let's call it > -response-. For each original observation identified by variable > called -id-, then you will need to create three dummy variables, say > -item1-, -item2- and -item3-, to keep track of where that response > came from. Then your model will essentially look like > > eq response : item1 item2 item3 > eq latent : all regressors for the latent variable > > gllamm response, id( id ) eq( response ) geq( latent ) link() family() > > The -eq- options says what is the pattern of the loadings of the > latent variable on the observed ones, and -geq- says what is the > structural model for that latent variable -- in your case, your > regression. > > On 2/11/09, Rahsaan Maxwell <rahsaan@polsci.umass.edu> wrote: > > Thanks for the response. I see that I need to expand the data but I'm not > sure > > how to then combine the three observed variables into one multivariate > > response? > > > > From what I can tell, section 8.4 in the gllamm manual is the closest to > my > > situation but it looks like they are regressing y on the different items > that > > comprise the latent variable, whereas I want to be regressing the items of > the > > latent variable on other variables. Or is that a necessary first step to > get > > the factor loadings? In which case how do I define y? That doesn't seem > to be > > addressed in the manual. > > > > Thanks, > > > > > > -Rahsaan > > > > > > Quoting Mads Meier Jæger <Mads@sfi.dk>: > > > > > Rahsaan, > > > > > > This can be done in gllamm by expanding the data so that the three > observed > > > variables (trust in police, etc.) form a multivariate response for each > > > individual, and then by using a random effect to model the latent DV. > You > > > need to expand the data to "trick" gllamm into treating the three > observed > > > variables as a multivariate response, see chapter 4 and 8 in the gllamm > > > manual. It should be easy enough also to include more random effects to > > > account for additional multilevel (neighbourhood, etc.) clustering. You > could > > > also use eqs() to model covariate effects on the latent DV. > > > > > > Mads > > > > > > > > > > > > -----Oprindelig meddelelse----- > > > Fra: owner-statalist@hsphsun2.harvard.edu > > > [mailto:owner-statalist@hsphsun2.harvard.edu] På vegne af Rahsaan > Maxwell > > > Sendt: 11. februar 2009 06:49 > > > Til: statalist@hsphsun2.harvard.edu > > > Emne: st: Latent variable DVs in gllamm > > > > > > Does anyone know if it is possible to build a multi-level mixed effects > model > > > with a latent DV using glamm? > > > > > > I have a unobserved response variable (political trust) that is > comprised of > > > three observed variables (trust in police, trust in government, trust in > > > politicians). I am trying to run a multi-level model with fixed effects > IVs > > > at > > > the individual and neighborhood level and a random intercept for the > > > neighborhood grouping level. > > > > > > However, I cannot figure out how to construct the DV as a latent > variable. I > > > have been trying to use the eqs function but that does not seem to work. > > > > > > Thanks, > > > > > > -Rahsaan > > > > > > > > > Rahsaan Maxwell, Ph.D. > > > Assistant Professor > > > Department of Political Science > > > University of Massachusetts, Amherst > > > > > > Postdoctoral Fellow > > > Transatlantic Academy > > > German Marshall Fund of the United States > > > http://rahsaanmaxwell.googlepages.com > > > * > > > * 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/ > > > > > > > > > * > > > * 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/ > > > > > > > > > Rahsaan Maxwell, Ph.D. > > Assistant Professor > > Department of Political Science > > University of Massachusetts, Amherst > > > > Postdoctoral Fellow > > Transatlantic Academy > > German Marshall Fund of the United States > > http://rahsaanmaxwell.googlepages.com > > * > > * 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/ > Rahsaan Maxwell, Ph.D. Assistant Professor Department of Political Science University of Massachusetts, Amherst Postdoctoral Fellow Transatlantic Academy German Marshall Fund of the United States http://rahsaanmaxwell.googlepages.com * * 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/

**Follow-Ups**:**Re: st: SV: Latent variable DVs in gllamm***From:*Stas Kolenikov <skolenik@gmail.com>

**References**:**st: Latent variable DVs in gllamm***From:*Rahsaan Maxwell <rahsaan@polsci.umass.edu>

**st: SV: Latent variable DVs in gllamm***From:*Mads Meier Jæger <Mads@sfi.dk>

**Re: st: SV: Latent variable DVs in gllamm***From:*Rahsaan Maxwell <rahsaan@polsci.umass.edu>

**Re: st: SV: Latent variable DVs in gllamm***From:*Stas Kolenikov <skolenik@gmail.com>

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