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Re: st: Pooling Data
Dennis Kramer <email@example.com>
Re: st: Pooling Data
Thu, 14 Apr 2011 21:06:50 -0400
given that the X and Y are both achievement on the same subject-- math
-- (just calculated differently) could I not apply a pooled
regression coefficient function after estimating the OLS regression
models for each district?
On Thu, Apr 14, 2011 at 7:52 PM, Nick Cox <firstname.lastname@example.org> wrote:
> I agree with Joerg. The question sems to be: I have measures for
> variable y in area A and x in area B, and how can I compare them? I
> can't see that you do anything without a cross-calibration between y
> and x.
> On Fri, Apr 15, 2011 at 12:48 AM, Joerg Luedicke
> <email@example.com> wrote:
>> On Thu, Apr 14, 2011 at 7:23 PM, Clive Nicholas
>> <firstname.lastname@example.org> wrote:
>>> Dennis Kramer replied:
>>>> I am attempting to compare the effectiveness of teachers in two
>>>> districts (based on a common evaluation tool) where the student test
>>>> scores outcomes are calculated differently. the first district
>>>> calculates the scores on a cumulative gain index standardized across a
>>>> number of factors and the other district uses a value-added index.
>>> I think I'll do my best impersonation of a David Greenberg posting and
>>> say that, to me, your problem appears to cry out for a multilevel
>>> modelling solution, perhaps via -gllamm-.
>> I do not know how a multilevel model would be of help here, besides
>> there only being 2 districts, which is not enough anyway. But first
>> and foremost, this seems to be a measurement problem. I do not know
>> anything about these two indices but if they are picking up different
>> stuff and one index cannot be translated into the other, I guess then
>> the data from the two districts cannot be combined.
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