A methodology for conducting integrative mixed methods research and data analyses

Felipe Castro, Joshua G. Kellison, Stephen J. Boyd, Albert Kopak

Research output: Contribution to journalArticle

154 Scopus citations

Abstract

Mixed methods research has gained visibility within the last few years, although limitations persist regarding the scientific caliber of certain mixed methods research designs and methods. The need exists for rigorous mixed methods designs that integrate various data analytic procedures for a seamless transfer of evidence across qualitative and quantitative modalities. Such designs can offer the strength of confirmatory results drawn from quantitative multivariate analyses, along with "deep structure" explanatory descriptions as drawn from qualitative analyses. This article presents evidence generated from over a decade of pilot research in developing an integrative mixed methods methodology. It presents a conceptual framework and methodological and data analytic procedures for conducting mixed methods research studies, and it also presents illustrative examples from the authors' ongoing integrative mixed methods research studies.

Original languageEnglish (US)
Pages (from-to)342-360
Number of pages19
JournalJournal of Mixed Methods Research
Volume4
Issue number4
DOIs
StatePublished - Sep 24 2010

Keywords

  • grounded theory
  • integrative mixed methods
  • machismo
  • methodological adaptation
  • multivariate data analysis

ASJC Scopus subject areas

  • Education
  • Social Sciences (miscellaneous)
  • Statistics, Probability and Uncertainty

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