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What Is Mixed Methods Research? Designs & Examples | CASRAI

Mixed methods research combines quantitative and qualitative data collection and analysis within a single study to answer research questions that neither approach can address alone. It draws on the generalisability of numbers and the contextual depth of language.

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What mixed methods research is and why it emerged

Mixed methods research was formalised as a distinct methodology in the 1980s and 1990s, with John Creswell and Vicki Plano Clark’s textbook (now in its third edition) becoming a dominant reference. The approach is grounded in pragmatism — the philosophical position that research questions, not paradigmatic allegiances, should drive method choices. It is used when a purely quantitative study would fail to explain why a pattern occurs, or when a purely qualitative study would produce insights that cannot be confirmed at scale. Journals such as the Journal of Mixed Methods Research (founded 2007) attest to its institutionalisation as a distinct field.

The three core designs

Creswell and Plano Clark identify three foundational mixed methods designs. In the convergent (concurrent triangulation) design, quantitative and qualitative data are collected and analysed in parallel, then merged to compare and validate findings. In the explanatory sequential design, quantitative data are collected and analysed first; qualitative follow-up explains or contextualises the quantitative results — commonly used when survey findings raise "why" questions. In the exploratory sequential design, qualitative data come first to identify themes or develop instruments, which are then tested quantitatively — commonly used when no suitable measure exists. Each design has implications for sampling, timing, and the point of integration.

Integration and philosophical foundations

What makes a study genuinely mixed methods is integration — the deliberate linking of the two strands at one or more points in the research process. Integration can occur at the design stage (embedding one method within another), at the data-collection stage (using qualitative findings to develop a survey), at the analysis stage (merging datasets), or at the interpretation stage (discussing convergent or divergent results). Without integration, a study is merely multi-method. The philosophical anchor is typically pragmatism, which resists the qualitative–quantitative paradigm war and argues that rigour is defined by fitness for the research question.

Strengths and challenges

Mixed methods research can answer questions of both breadth and depth within a single study, is often more persuasive to multidisciplinary audiences, and is increasingly required by funders. Challenges include the time and expertise required to execute both strands competently, the risk of one strand dominating and making the study effectively mono-method, the complexity of reporting and justifying integration decisions, and the difficulty of finding reviewers with expertise in both approaches. Teams are often preferable to solo researchers for large mixed methods projects.

Key facts

At a glance

Definition: Combining quantitative and qualitative data in a single study
Key theorists: Creswell & Plano Clark — foundational textbook on the methodology
Core designs: Convergent, explanatory sequential, exploratory sequential
Philosophy: Pragmatism — research questions drive method choice
Key concept: Integration — linking both strands at design, analysis or interpretation
Journal: Journal of Mixed Methods Research (founded 2007)
Challenge: Time, expertise, and risk of one strand dominating

Common misconceptions

What people often get wrong

Often heard: Mixed methods simply means using both a survey and interviews.

Actually: Not necessarily — having two methods is multi-method, not mixed methods. The defining feature is intentional integration of the two strands at one or more points; without that, the study lacks the synthesis that makes it genuinely mixed methods.

Often heard: Mixed methods always requires equal weight for both strands.

Actually: No — many mixed methods designs are priority-weighted, with one strand dominant and the other supplementary. This is legitimate and often more practical.

Often heard: Mixed methods is always better than a single-method study.

Actually: No — the research question should determine the design. When a question is best answered by either quantitative or qualitative methods alone, adding the other strand increases cost without benefit.

Going deeper