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Re: st: Please advise- Models using gllamm


From   Richard Williams <richardwilliams.ndu@gmail.com>
To   statalist@hsphsun2.harvard.edu, statalist@hsphsun2.harvard.edu
Subject   Re: st: Please advise- Models using gllamm
Date   Sun, 17 Mar 2013 22:47:50 -0500

I didn't read the original post carefully. I do think that mere mortals might have a chance if they carefully read Stata's SEM Manual. But then again I worked with LISREL 30+ years ago when everything had to be written with matrices, so anything written in something that vaguely resembles English seems a bit more manageable.

At 08:52 PM 3/17/2013, Stas Kolenikov wrote:
If a past president of the American Statistical Association says so,
there should be some merit in his words. Models fitted by -gllamm- are
surely fancy, but you need (i) a serious (matrix based) course in
regression; (ii) a serious course in generalized linear models; (iii)
a serious course in mixed models, and (iv) a serious (multivariate
calculus based) course in nonlinear optimization -- before you can
meaningfully work with -gllamm-. Or, for that matter, a lot of other
advanced models like -sem- or -cmp- or -xtmixed- or -xtmelogit-. If
all you had was a course in ANOVA, you might be able to find a
consultant who could do the work for you for $150/hour (if you are
lucky), and you won't own it. This may be OK for an urgent work if
your student visa expires in two weeks, but I totally agree with Tony
that it hardly makes for good academics.

-- Stas Kolenikov, PhD, PStat (SSC)
-- Senior Survey Statistician, Abt SRBI
-- Opinions stated in this email are mine only, and do not reflect the
position of my employer
-- http://stas.kolenikov.name



On Sun, Mar 17, 2013 at 5:38 PM, Lachenbruch, Peter
<Peter.Lachenbruch@oregonstate.edu> wrote:
> I was thinking more on the line of the accused in a murder trial of his parents asking for consideration of the fact that he was an orphan.
>
> This a hell of a nerve. It does not augur well for a future in academics. As simply as i can put it, don't use tools you haven't studied. Tell your advisor to either give you time to learn about gllamm or allow you to use other tools.
>
> Peter A. Lachenbruch,
> Professor (retired)
> ________________________________________
> From: owner-statalist@hsphsun2.harvard.edu [owner-statalist@hsphsun2.harvard.edu] on behalf of JVerkuilen (Gmail) [jvverkuilen@gmail.com]
> Sent: Sunday, March 17, 2013 1:17 PM
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: Please advise- Models using gllamm
>
> On Sun, Mar 17, 2013 at 2:14 PM, Daniel Kaplan <dbk2006@gmail.com> wrote:
>> Hi Statalisters-
>>
>> I am very quickly running out of time to finish this last step in my
>> dissertation, and I am not only new to complex stats but have never
>> used gllamm.  PLEASE someone take a look at my gllamm models and give
>> me some insight as to how to proceed.
>>
>> This is a re-post of my earlier request, as I am desperate for advice
>> and nobody responded as of yet.  I know there is a lot to read here,
>> but I figure the more details I can offer the better.
>>
>
> While I feel for you---and you need to realize that your thesis
> advisor has utterly screwed you, too---there's no way that any of us
> can meaningfully help. If I may make an analogy, your request is like
> walking into an acute care center with a gunshot wound to the chest.
>
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Richard Williams, Notre Dame Dept of Sociology
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