Bridging the qualitative-quantitative divide: Guidelines for conducting mixed methods research in information systems

Viswanath Venkatesh, Susan A. Brown, Hillol Bala

Research output: Contribution to journalArticle

558 Scopus citations

Abstract

Mixed methods research is an approach that combines quantitative and qualitative research methods in the same research inquiry. Such work can help develop rich insights into various phenomena of interest that cannot be fully understood using only a quantitative or a qualitative method. Notwithstanding the benefits and repeated calls for such work, there is a dearth of mixed methods research in information systems. Building on the literature on recent methodological advances in mixed methods research, we develop a set of guidelines for conducting mixed methods research in IS. We particularly elaborate on three important aspects of conducting mixed methods research: (1) appropriateness of a mixed methods approach; (2) development of meta-inferences (i.e., substantive theory) from mixed methods research; and (3) assessment of the quality of meta-inferences (i.e., validation of mixed methods research). The applicability of these guidelines is illustrated using two published IS papers that used mixed methods.

Original languageEnglish (US)
Pages (from-to)21-54
Number of pages34
JournalMIS Quarterly: Management Information Systems
Volume37
Issue number1
DOIs
StatePublished - Mar 2013

Keywords

  • Meta-inferences
  • Mixed methods
  • Multimethod
  • Positivist
  • Qualitative
  • Quantitative
  • Research design
  • Research method
  • Validity

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Computer Science Applications
  • Information Systems and Management

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