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Re: st: matching procedure


From   Svend Juul <SJ@SOCI.AU.DK>
To   <statalist@hsphsun2.harvard.edu>
Subject   Re: st: matching procedure
Date   Wed, 7 May 2008 13:48:17 +0200

Ansgar wrote :

I have a question regarding statistical matching of two 
samples. My problem is as follows: 

Research design: Two samples (A, B) with 180 individual 
respondents each.  Same 16 questions were asked for 4 
different project settings (equals 64 variables).  In 
each project setting, Sample A respondents answered 8 
of the questions, the other 8 questions were answered 
by B respondents. 

The problem is that each observation has always 32 
missing values. Example of data structure for questions 
6-11 in project setting 1 for respondents 351-355 

351. |        .          .          .          2          6          4 |

352. |        3          6          7          .          .          . |

353. |        .          .          .          5          5          4 |

354. |        .          .          .          2          4          7 |

355. |        6          6          6          .          .          . |


Objective: Match A and B respondents to have all 16 
questions for each project setting answered per observation 
resulting in a sample size of 180 paired respondents 
(necessary for ANOVA).  Respondents are supposed to be 
matched (paired) based on demographic variables which were 
answered by each respondent. 

I tried psmatch2 in Stata but it seems that I can't use 
this function for this design. Do you have any suggestions 
as to how I could achieve the matching that I envisage?

============================================================

I am not sure about the project design and why it was designed
as it is. Also, I am not sure why you want to create matched
pairs. But since nobody else offered a suggestion:

As I understand, you want to make the best possible match. The 
unofficial command -nearmrg- may be useful. Find it by:

   findit nearmrg

Hope this helps
Svend
 
__________________________________________

Svend Juul
Institut for Folkesundhed, Afdeling for Epidemiologi
(Institute of Public Health, Department of Epidemiology)
Vennelyst Boulevard 6
DK-8000  Aarhus C, Denmark
Phone:  +45 8942 6090
Home:   +45 8693 7796
Email:  sj@soci.au.dk
__________________________________________ 

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