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Problems and Promises of Qualitative Secondary Analysis for Research in Information Science (Paper)
Proceedings of the 2017 Annual Conference of CAIS / Actes du 2017 congrès annuel de l'ACSI
  • Amy VanScoy, University at Buffalo
  • Jenny Bossaller, University of Missouri
  • C. Sean Burns, University of Kentucky
Abstract

Qualitative secondary analysis (QSA) is a method that has been applied in other disciplines even though it has rarely been explicitly used or discussed in information science. This paper discusses the epistemological and ethical issues surrounding QSA, explains the value of the method for information science research, discusses its benefits and challenges, and provides an example case study.

Document Type
Conference Proceeding
Publication Date
7-26-2018
Notes/Citation Information

Published in Proceedings of the 2017 Annual Conference of CAIS / Actes du 2017 congrès annuel de l'ACSI, which is available online at https://journals.library.ualberta.ca/ojs.cais-acsi.ca/index.php/cais-asci/issue/view/36.

The publisher has granted the permission for posting the article here.

Citation Information
Amy VanScoy, Jenny Bossaller and C. Sean Burns. "Problems and Promises of Qualitative Secondary Analysis for Research in Information Science (Paper)" Proceedings of the 2017 Annual Conference of CAIS / Actes du 2017 congrès annuel de l'ACSI Vol. 2017 (2018) p. 1 - 7
Available at: http://works.bepress.com/cseanburns/45/