Abstract
Secondary data analysis is the method of using preexisting data in a different way or to answer a different research question than that intended by those who collected the data. The work of the secondary data analyst begins where the survey, experiment, or qualitative method that generates the data ends. The most common sources of data used in secondary analyses are social science surveys and data collected by government agencies, often with survey research methods, but it is also possible to reanalyze data that have been collected in experimental studies or with qualitative methods. Even reanalysis by researchers of data that they collected previously qualifies as secondary analysis if it is for a new purpose or in response to a methodological critique.
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