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> Subject: Re: [R] Design-consistent variance estimate
>
> It also turns out that in educational testing, it is rare to
> consider the sampling design and to estimate
> design-consistent standard errors. I appreciate your thoughts
> on this, Stas. As a result, I
-help@r-project.org
> Subject: Re: [R] Design-consistent variance estimate
>
> On 8/16/08, Doran, Harold <[EMAIL PROTECTED]> wrote:
> > In terms of the "design" (which is a term used loosely) the schools
> > were not randomly selected. They volunteered to par
On 8/16/08, Doran, Harold <[EMAIL PROTECTED]> wrote:
> In terms of the "design" (which is a term used loosely) the schools were
> not randomly selected. They volunteered to participate in a pilot study.
Oh, that's a next level of disaster, then! You may have to work with
treatment effect models, o
Sent: Fri 8/15/2008 4:55 PM
To: Doran, Harold
Cc: r-help@r-project.org
Subject: Re: [R] Design-consistent variance estimate
On 8/15/08, Doran, Harold <[EMAIL PROTECTED]> wrote:
> 1) In this linearization, I do treat N (population) size as a known
> constant. I thought that is what
On 8/15/08, Doran, Harold <[EMAIL PROTECTED]> wrote:
> 1) In this linearization, I do treat N (population) size as a known
> constant. I thought that is what svymean() and SAS proc surveymeans did as
> well. So, this is a simple univariate expansion since I only take the
> derivative w.r.t to Y, t
rold
Cc: r-help@r-project.org
Subject: Re: [R] Design-consistent variance estimate
Harold,
in design-based estimation, thinking in terms of "what is my
(effective) sample size" rarely works out.
First of all, unless you have a fixed sample size design, your sample
size itself is a rand
Harold,
in design-based estimation, thinking in terms of "what is my
(effective) sample size" rarely works out.
First of all, unless you have a fixed sample size design, your sample
size itself is a random variable. You can hope for fixed sample sizes
with some excruciatingly controlled clinical
Dear List:
(reposting due to word wrap problems, my apologies)
I am working to understand some differences between the results of the
svymean() function in the survey package and from code I have written
myself. The results from svymean() also agree with results I get from
SAS proc surveymeans, s
Dear List:
I am working to understand some differences between the results of the
svymean() function in the survey package and from code I have written
myself. The results from svymean() also agree with results I get from
SAS proc surveymeans, so, this suggests I am misunderstanding something.
I
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