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Re: st: SV: Latent variable DVs in gllamm


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 18:30:42 -0500

Ok, thanks, that makes sense.

But can you tell if there is another problem with the code?

Because even when I try to just run the following code at the individual level
with the following code, I get an error message: "a not found" but as far as I
can tell I have properly specified all the variables.

Sorry for all the questions, but it is difficult learning a new program in
isolation!

-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 resp: item1 item2 item3
eq latent: muschri gentrust
gllamm response, i(id) eq(resp) geq(latent) link(ologit) f(binom)

Quoting Stas Kolenikov <skolenik@gmail.com>:

> If you have three levels, then you would need more equations -- one
> for each level. That's where your error message comes from. How you
> want to incorporate other leves is up to you though -- as random
> effects, random slopes, whether they affect the lower levels latent
> variables -- pretty much any configuration might be defensible, just
> look at what makes sense for your problem and in your discipline.
>
> On 2/11/09, Rahsaan Maxwell <rahsaan@polsci.umass.edu> wrote:
> > 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/
> >
>
>
> --
> 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/



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