Hi!
I am currently investigating two periods in time: 1990 and 2000, and the change for 3000+ individuals in approx. 20 different variables.
In the 1990 dataset I have 3354 individuals that are identified with a code-nr that runs from 10000 to 34907.
The 2000 dataset includes some of these individuals, as well as a significant number of new survey respondents. In the same way, the 1990 dataset includes respondents that did not participate in the 2000 survey.
My problem is that I need a means of having excel identify only those observations where the respondent ID is observed in both time instances, and delete (the entire row/information for all variables) those that are not present in both data sets.
Any tips on how I can manage this?
Thanks,
Mikenikes
I am currently investigating two periods in time: 1990 and 2000, and the change for 3000+ individuals in approx. 20 different variables.
In the 1990 dataset I have 3354 individuals that are identified with a code-nr that runs from 10000 to 34907.
The 2000 dataset includes some of these individuals, as well as a significant number of new survey respondents. In the same way, the 1990 dataset includes respondents that did not participate in the 2000 survey.
My problem is that I need a means of having excel identify only those observations where the respondent ID is observed in both time instances, and delete (the entire row/information for all variables) those that are not present in both data sets.
Any tips on how I can manage this?
Thanks,
Mikenikes