How is mixed methods research defined?

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Mixed methods research is defined as an approach that combines qualitative and quantitative research methods in a single study. This methodology allows researchers to leverage the strengths of both qualitative and quantitative approaches, enhancing the depth and breadth of data collected. By integrating both types of data, researchers can gain a more comprehensive understanding of research questions, as qualitative data can provide context and meaning to the numerical findings from quantitative data. This dual approach enables the triangulation of results, improving the overall validity and reliability of the study.

In contrast, an approach using only qualitative methods focuses solely on subjective data gathered from interviews, observations, or open-ended questionnaires, which limits the ability to generalize findings or evaluate statistical significance. An approach combining multiple types of funding sources addresses financial aspects rather than research methodology, and focusing solely on numerical data restricts the study's insights to statistical analysis, potentially overlooking the nuanced contexts that qualitative research offers. By integrating both qualitative and quantitative methods, mixed methods research captures a more holistic view of the research questions being explored.

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