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The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses

Open access
Castro, Felipe González, Kellison, Joshua G., Boyd, Stephen J., Kopak, Albert·2010·Journal of Mixed Methods Research

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.

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Crossref · 10.1177/1558689810382916

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Metadata

Authors
Castro, F. G., Kellison, J. G., Boyd, S. J., & Kopak, A.
Venue
Journal of Mixed Methods Research
Published
2010-09-20
Volume
4
Issue
4
Pages
342-360
ISSN
  • 1558-6898 (ISSN-L)
  • 1558-6901
OpenAlex
W2098972373
Cited by
632
References
44
FWCI
93.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses. https://app.cochat.ai/papers/10.1177/1558689810382916
The paper
Castro, F. G., Kellison, J. G., Boyd, S. J., & Kopak, A. (2010). A Methodology for Conducting Integrative Mixed Methods Research and Data Analyses. Journal of Mixed Methods Research. https://doi.org/10.1177/1558689810382916

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.