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Integrating quantitative and qualitative research: How is it done
Open accessAbstract
This article seeks to move beyond typologies of the ways in which quantitative and qualitative research are integrated to an examination of the ways that they are combined in practice. The article is based on a content analysis of 232 social science articles in which the two were combined. An examination of the research methods and research designs employed suggests that on the quantitative side structured interview and questionnaire research within a cross-sectional design tends to predominate, while on the qualitative side the semi-structured interview within a cross-sectional design tends to predominate. An examination of the rationales that are given for employing a mixed-methods research approach and the ways it is used in practice indicates that the two do not always correspond. The implications of this finding for how we think about mixed-methods research are outlined.
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“A mixed-methods approach ensures the study captures measurable outcomes and nuanced insights (Bryman 2006).”
From My Teammate is an AI: Evaluating Generative AI in Game Asset Creation through a Post-GameJam Study (2025) · cites this paper as Bryman 2006
In the citing paper
“The methodological rigour was enhanced in this study by the fact that both researchers completed the majority of the steps in this framework independently (Bryman, 2006).”
From Exploring the Potential Mechanisms of Action of the Mindfulness-based Social Work and Self-care Programme. (2022) · cites this paper as Bryman, 2006
In the citing paper
“Bryman’s classification breaks down Greene et al.’s (1989) categories into several aspects, and he adds a number of additional aspects, such as the following:”
From How to Construct a Mixed Methods Research Design (2017) · cites this paper as Bryman (2006)
In the citing paper
“On the basis of a review of the reasons for combining qualitative and quantitative research mentioned by the authors of mixed methods studies, Bryman (2006) formulated a list of more concrete rationales for performing mixed methods research (see Appendix).”
From How to Construct a Mixed Methods Research Design (2017) · cites this paper as Bryman (2006)
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Metadata
- Authors
- Bryman, A.
- Affiliations
- University of Leicester (GB)
- Corresponding author
- Bryman, Alan
- Venue
- Qualitative Research
- Publisher
- SAGE Publications
- Published
- 2006-02
- Volume
- 6
- Issue
- 1
- Pages
- 97-113
- ISSN
- 1468-7941 (ISSN-L)
- 1741-3109
- OpenAlex
- W2169888706
- Cited by
- 3,354
- References
- 17
- Citations by year
- 2026: 124 · 2025: 180 · 2024: 192 · 2023: 194 · 2022: 214 · 2021: 271 · 2020: 263 · 2019: 255 · 2018: 201 · 2017: 223 · 2016: 238 · 2015: 205 · 2014: 204 · 2013: 196 · 2012: 121
- FWCI
- 149.12
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Qualitative Research (publishedVersion)
- Leicester Research Archive (University of Leicester) (submittedVersion)
- Topics
- Social Sciences › Education › Educational Research and Methods
- Social Sciences › Sociology and Political Science › Qualitative Comparative Analysis Research
- Social Sciences › Education › Qualitative Research Methods and Applications
- Keywords
- mixed methods, research design, cross-section design, structured interviews, questionnaire, semi-structured interviews, research typology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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