A methodology for conducting integrative mixed methods research and data analyses

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

Research output: Contribution to journalArticlepeer-review

292 Scopus citations


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
Issue number4
StatePublished - 2010
Externally publishedYes


  • 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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