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Re: st: TIMMS multivariate model analysis in stata


From   William Buchanan <[email protected]>
To   "[email protected]" <[email protected]>
Subject   Re: st: TIMMS multivariate model analysis in stata
Date   Wed, 3 Jul 2013 11:22:40 -0700

You could also -miset- the plausible scores and estimate the model of interest while specifying that some of the variables are imputed.  If you're familiar with MI you could also create a quick program to deal with combining the results from models fit to each of the individual plausible values. 

Sent from my iPhone

On Jul 3, 2013, at 10:59, Nick Cox <[email protected]> wrote:

> It takes a -search- to find that -pv- is from SSC. Please explain
> where user-written programs you refer to come from, as explained in
> the FAQ.
> 
> It seems reasonable to guess that [indepvars] means independent
> variables and that your dependent variables should be specified by
> -pv()-. (This is a nonstandard syntax, but that is not a big deal.)
> 
> A simple tip when learning Stata is to look at the examples in the
> help file as well as the syntax diagram.
> 
> Also, please use full real names on Statalist, as explained in the FAQ.
> 
> Nick
> [email protected]
> 
> On 3 July 2013 18:46, dietrich <[email protected]> wrote:
> 
>> I would like to run a multivariate regression model with the TIMMS dataset,
>> with student math achievement as the dependent variable and several student
>> and teacher characteristic variables as independent variables. I found the
>> PV command, but am not sure how it works.
>> 
>> The syntax (help pv) is the following:
>> 
>> pv [indepvars] [if] [in] [weight] , pv(varlist) [options]
>> 
>> My question:
>> What is [indepvars]? Does it allow me to define independent variables that
>> are controlled for in a multivariate regression model (OLS) with Plausible
>> Values as dependent variable?
>> Or does it define the variables that are regressed in order to create the
>> plausible value imputations?
>> 
>> Please excuse me if I am not able to make myself clear, I am a learning
>> student.
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