Statalist


[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

st: Multiple Imputation (was Analyzing NAEP Data in Stata)


From   "Rodrigo Alfaro A." <[email protected]>
To   <[email protected]>
Subject   st: Multiple Imputation (was Analyzing NAEP Data in Stata)
Date   Wed, 9 Apr 2008 11:08:36 -0400

Bob,

As Brian your message did not capture the attention of the users. As Steve pointed you have to work with multiple datasets generated by some multiple imputation procedure. I changed the subject to capture the attention of more users... many of them are not related with education but they are with the statistical procedures that you need. 

About your question: Rubin (1987) provides simple rules for combining the results on different dataset. There is a very good information on those formulas and more at http://www.stat.psu.edu/~jls/mifaq.html. You will note that it is "good" to know the procedure that generated your datasets. Schafer (1997) suggests consistency between the imputation-model and the analysis-model. For example, if in the imputation-model you controlled by family characteristic but in your analysis you could not omit those vars.  

About code: The -mim- command is simple to use, but I think that requires to have all the data in one dataset. For huge datasets it is better to run the procedures in each dataset and combine the results after. I wrote a small code to run any kind of regression in that way, you need http://people.bu.edu/ralfaro/stata/mira.ado and http://people.bu.edu/ralfaro/stata/mira.hlp. You will note that it is easy to implement the Rubin's rules. You could get some of them by using loops over the dataset!!

I hope this helps you and other members could provide you more information on the topic. 

Rodrigo. 
Rubin, D.B. (1987) Multiple Imputation for Nonresponse in Surveys. J. Wiley & Sons, New York. 
Schafer, J.L. (1997) Analysis of Incomplete Multivariate Data. Chapman & Hall, London. 

 

-----Mensaje original-----
De: [email protected] [mailto:[email protected]] En nombre de Steven Samuels
Enviado el: Mi�rcoles, 09 de Abril de 2008 10:35 a.m.
Para: [email protected]
Asunto: Re: st: Analyzing NAEP Data in Stata

I'm not familiar with NAEP, but a search on 'imputation' may lead you to a Stata solution.  The -mim- command prefix looks most promising.

-Steven
On Apr 8, 2008, at 11:30 AM, Bob Fitzgerald wrote:

> I would be interested in hearing from any list member who has used 
> Stata for NAEP student-level analyses.
>
> The NAEP student data (National Assessment of Educational Progress), 
> are collected during a large national assessment conducted about every 
> two years in the U.S. NAEP items are constructed using IRT methods, 
> and the item selection is based on a matrix sample. The NAEP data 
> contain five plausible values for each response.
>
> I found an earlier request from Brian Jacobs http://www.stata.com/ 
> statalist/archive/2003-06/msg00505.html but no substantive replies to 
> his post. I am hoping that the increased availability of NAEP data 
> since 2003 may be associated with an increase in the number of 
> researchers using  Stata to analyze these data.
>
> Many thanks.
>
> Bob
>
> *
> *   For searches and help try:
> *   http://www.stata.com/support/faqs/res/findit.html
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/

********************************************************************************
ADVERTENCIA: La  informaci�n  contenida  en  esta  transmisi�n, y  en  cualquier archivo  adjunto, est�  sujeta a reserva legal conforme a la normativa aplicable  al  Banco  Central  de  Chile, y  no  puede  ser usada o difundida  por personas distintas  de  su o sus destinatarios. Si usted ha recibido esta transmisi�n por error,  por  favor  notifique  inmediatamente al remitente respondiendo por este mismo medio y elim�nela de su sistema.
El  Banco Central de Chile no se har� responsable de la exactitud y veracidad de la informaci�n contenida en este mensaje, as�  como  de su  modificaci�n, copia, divulgaci�n  o  reenv�o,  total  o  parcial.   Su  uso  no  autorizado puede ser sancionado de conformidad con las leyes chilenas. 
El  Banco  Central  de  Chile  transmite  sus decisiones a trav�s de comunicados oficiales, los  que  pone  a  disposici�n  del p�blico en su p�gina de Internet: www.bcentral.cl 

DISCLAIMER: The information  contained  in  this  email or any attached file, is subject to legal  privilege  pursuant  to the laws and regulations applicable to the Central  Bank  of  Chile , and may not be used or disseminated by any person other  than  its  intended recipients. If you have received this transmission in error, please  notify  the sender immediately by reply to this email address and delete it from your system.
The Central Bank  of  Chile shall not be liable for the accuracy or authenticity of the contents of this message, whether amended, copied, forwarded or disclosed in  any  form, in  whole  or  in part.  Please note that unauthorized use may be penalized  in  conformity  with  the  Chilean law.    
The Central  Bank of Chile communicates its decisions by  official releases, and 
makes them available to the public in its WebPages: www.bcentral.cl

*
*   For searches and help try:
*   http://www.stata.com/support/faqs/res/findit.html
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/



© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index