Hello everyone,
for my master thesis I need to analyze data which has been multiple imputated.
So I have five datasets (5 different .dta-files) which are quite similar, but differ in some cells, because their values were imputated. Additionally, I have one further dataset which only contains of many "0" and some "1" indicating which values were imputated in the other five datasets.
Now my question is how do I "merge" theses datasets and what specifics do I have to care about before analyzing my data like normal (doing a logistic regression etc.)?
Thanks in advance for every piece of help I get.
for my master thesis I need to analyze data which has been multiple imputated.
So I have five datasets (5 different .dta-files) which are quite similar, but differ in some cells, because their values were imputated. Additionally, I have one further dataset which only contains of many "0" and some "1" indicating which values were imputated in the other five datasets.
Now my question is how do I "merge" theses datasets and what specifics do I have to care about before analyzing my data like normal (doing a logistic regression etc.)?
Thanks in advance for every piece of help I get.
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