When To Use Mixed Methods Design Essay

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Discussion: Designing Mixed Methods Research Mixed methods research is more than simply taking a quantitative design and a qualitative design and putting them together. The methods should complement one another and be relevant to the subject that is being studied. For example, a researcher who wants to conduct exploratory research would benefit more from using a qualitative design than a mixed methods design, as the latter could potentially drain resources that could be better used conducting the exploratory part of the investigation. However, using the mixed methods approach is useful when both qualitative data and quantitative data can be easily combined to enhance a study (Johnson & Onwuegbuzie, 2004). For example, in a health care study, interviews could be conducted with patients about their care and a survey could also be given. The interviews would provide qualitative data and the surveys would provide quantitative data. Both would complement one another: the survey could obtain responses using a Likert scale of measurement which would allow a form of statistical analysis to be conducted. The interviews could help to provide even more context to the statistical analysis and deepen the interpretation of the data.

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In research where the subject can be analyzed from both qualitative and quantitative approach, the mixed methods research design would be appropriate. Sometimes data is not available from a qualitative perspective or from a quantitative perspective. Sometimes researchers are only able to examine a subject and must base a study on this limitation, and so a qualitative approach would be best suited. Other times, researchers are able to interview, observe, immerse themselves in the world of the subject and obtain quantitative data that can be analyzed statistically. In such cases, it helps to have a team of researchers that can assist in the measurement of the data so that no one is overwhelmed.
One strength of mixed methods research is that it provides a more comprehensive perspective on the subject being studied. There is more data to be analyzed and a fuller picture can be developed. For professionals who prefer statistical analysis, the quantitative measures will be appealing. For those who prefer a deeper look into the subject, the qualitative measures will be useful. In…

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