A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses

By F. Castro, J. Kellison, S. Boyd, Albert M. Kopak. Journal of Mixed Methods Research, 2010

641 citations recorded by the source corpus.

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.

Subfields: Clinical Psychology, General Health Professions

View Paper: https://www.semanticscholar.org/paper/2a0af86fbc28bbef665e15cae07a12e9be1c2af9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Clinical Psychology

1. J. D. Creswell
2. Kirk Warren Brown
3. Richard M. Ryan

In General Health Professions

1. L. Curry
2. J. D. Creswell
3. Michael D. Fetters

Citations in the corpus

• Achieving integration in mixed methods designs-principles and practices. (2013, background): “For example, if quantitative data are collected with an instrument with a series of scales, qualitative data can be collected using parallel or similar questions (Castro et al. 2010).”