Abstract: Secondary analysis refers to a set of research practices that involve utilizing data collected by someone else or data that has been collected for another purpose (e.g., administrative records). Two main categories can be identified: (a) data developed for the explicit purpose of being shared with others; and (b) data that are byproducts of the actions of individuals and organizations. It is conducted for several distinct reasons. Reanalyzes are undertaken to: check the accuracy of statistical conclusions in primary studies; test new statistical procedures or substantive hypotheses; and to resolve conflicts among researchers. Increasingly, qualitative data are being subjected to secondary analysis. Although not a research methodology, per se, several features distinguish it from primary research and meta-analysis. In turn, these features create opportunities and limitations for the secondary analyst. Central issues concern: (a) data availability, access and documentation; (b) maintaining confidentiality and privacy pledges made by primary researchers; and (c) proprietary rights and data ownership. Availability of data has been enhanced by an increase in the number of agencies who store and disseminate their own data, the emergence of the World Wide Web, and data sharing policies adopted by professional journals and associations.
Publication Year: 2001
Publication Date: 2001-01-01
Language: en
Type: book-chapter
Indexed In: ['crossref']
Access and Citation
Cited By Count: 2
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