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?
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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: [email protected]
__________________________________________
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