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Re: st: crossed 4-level linear analysis
From
Nick Darson <[email protected]>
To
[email protected]
Subject
Re: st: crossed 4-level linear analysis
Date
Tue, 12 Jul 2011 19:44:58 +1000
* threads...sorry ;-)
On Tue, Jul 12, 2011 at 7:43 PM, Nick Darson <[email protected]> wrote:
> Juliette,
>
> I haven't used xtmixed much myself, but according to these threats it
> might be possible to model four levels:
>
> http://statalist.1588530.n2.nabble.com/st-Multilevel-models-Multilevel-mixed-effects-model-td3897455.html
>
>
>
>
> On Tue, Jul 12, 2011 at 7:34 PM, Neil Shephard <[email protected]> wrote:
>> On Tue, Jul 12, 2011 at 10:24 AM, Hommes Juliette (EDUC)
>> <[email protected]> wrote:
>>> L.S.,
>>>
>>> With great enthusiasm I've worked with STATA but now I've come across a problem that I cannot resolve so far. Therefore I hope you can give me a hand.
>>>
>>> I've collected repeated measurements (2) in two modules. Participants enrolled in the first module and were divided in groups randomly (n=30). After finishing the first module, the participants are again randomly assigned to groups (n=32). As such I've got four levels in my data structure with "crossed"data among the students/group levels: 1) Repeated measures, 2) Modules, 3) Students, 4) Groups.
>>>
>>> I've been using the xtmixed command, but I found that it could only be used for three levelled datasets (and/or crossed data). Do you have an idea to analyse the four levels in one model and account for the crossed nature of the data in STATA?
>>
>> I'm not certain whether it can handle what you want, but you might
>> want to see if -gllamm- is of use here (http://www.gllamm.org/).
>>
>> Within Stata you can get a description using -ssc desc gllamm-
>>
>> Neil
>>
>> --
>> “Truth in science can be defined as the working hypothesis best suited
>> to open the way to the next better one.” - Konrad Lorenz
>>
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>>
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>>
>
*
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