![]() Think about how you can use different techniques to integrate the data to provide an answer to your research question. When designing a mixed methods study, it is important to consider your research approach, research questions, and available data. It is up to the researcher to then carefully analyze the results and consider them in the context of the research question to draw meaningful conclusions. You may find differing or even conflicting results by combining quantitative and qualitative data. Rather, it also requires carefully considering the relationship between the two and method flexibility. It is important to note that mixed methods research does not only mean collecting both types of data. Or you could supplement your quantitative data with qualitative data, such as interviews and focus groups, to get a better sense of why people prefer one product over another. You could collect only quantitative data, such as how many people prefer each product and their demographics. There are several reasons why mixed methods research can be beneficial, including generalizability, contextualization, and credibility.įor example, let's say you are conducting a survey about consumer preferences for a certain product. By collecting and analyzing both quantitative and qualitative data in the same study, you can draw more meaningful conclusions. Mixed methods research is a great choice when quantitative or qualitative data alone will not sufficiently answer a research question. ![]()
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