Concatenating and Merging Datasets
The techniques described to this point in this chapter are designed to help you transform data within a single dataset (e.g., to recode a variable within a single dataset). However, you frequently need to perform transformations that involve combining more than one dataset to create a new dataset. For example, concatenating involves creating a new dataset by combining two or more previously existing datasets. With concatenation, the same variables typically appear in both of the previously existing datasets, but the two sets contain data from different participants. By concatenating the two previously existing sets, you create a new set that contains data from all participants.
In contrast, merging combines ...
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