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How can you merge two files in SPSS when the cases are not perfectly the same?
First of all you have to sort your data in ascending or descending with reference to the key variable and then merge both files. SPSS will give you two options merge cases and merge variable. You have to use merge variable option. After that you have to mention key variables which should be in both files.
What is a many-to-one merge?
A many-to-one merge combines observations just like a one-to-one merge, but many level one units are combined with one level two unit. A one-to-many merge is essentially the same thing, just the master data set contains the level two unit (the “one”) and the using data set contains the level one units (the “many”).
How to combine two data sets into one?
Use append to combine them into a single data set: If a variable only exists in one of the two data sets, observations from the other data set will have missing values for that variable. Make sure variables have the same name in both files before appending them, or append will treat them as different variables.
Is it possible to combine two survey results?
Combine or hide answer choices in your survey results by creating a custom chart. It’s not possible to merge the results of two separate surveys, even if they are identical in design or copies of one another. If you need to merge the data of two separate surveys, export the data for each survey and try combining the files in Excel.
What happens when you combine two data sets in NLSY?
The answer depends on whether you want the resulting data set to be in long form or in wide form. In the NLSY, a level two unit is a person and a level one unit is a person-year combination, so adding nlsy1980 to nlsy1979 is adding new level one units (years) to the existing level two units (people).
When to use append when combining data sets?
Before proceeding, start a new do file: If the using data set adds more observations to the master data set, then this is a job for append. Using append makes sense if the master data set and the using data set contain the same kinds of things, but not the same things.