Mixed methods research combines qualitative and quantitative techniques within a single study to provide a richer, more nuanced perspective. This approach involves collecting and analyzing both numerical data (quantitative) and textual or visual data (qualitative) to address the research question comprehensively.
When to use mixed methods research
Complex research questions
If your research question is multifaceted and cannot be fully addressed by either qualitative or quantitative methods alone, mixed methods research is ideal. For example, if you’re investigating the impact of a new educational policy, you might need statistical data to measure outcomes and interviews to understand the experiences of teachers and students.
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Complementarity
When the strengths of one method compensate for the weaknesses of another, mixed methods can provide a more balanced perspective. Quantitative data can offer broad generalizations, while qualitative data provides depth and context. Together, they create a fuller picture.
Exploratory and confirmatory research
Mixed methods are particularly useful when you need to explore a phenomenon and then confirm findings. For instance, you might start with qualitative interviews to identify key themes and then use a survey to test the prevalence of these themes across a larger population.
Multiple perspectives
If your dissertation aims to capture different viewpoints, mixed methods allow for the inclusion of diverse voices. For example, a study on community health initiatives might combine statistical health outcomes with personal stories from community members.
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