Dear Statalist users,
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?
Thank you very much for your help.
Ansgar
European
Business School
(EBS)
EBS European Business School gemeinnuetzige GmbH
Amtsgericht Wiesbaden HRB 19951
Umsatzsteuer-ID DE 113891213
Geschaeftsfuehrung: Prof. Dr. Christopher Jahns, Rektor; Sabine Fuchs, Reimar Palte, Prokuristen
Verwaltungsrat: Dr. Hellmut K.Albrecht, Vorsitzender
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