W7 Mixed-Methods Research

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SSGS500 Research Design and Methods W7: Mixed-Methods Research I was very surprised that the combination of quantitative or qualitative research styles of “Mixed Methods Research” is still a relatively new concept. It seems this method fits in most areas of research, especially when combining existing data from previous research with newly collected data, but seeking clarity in what you question is essential to understanding the research question and what direction your research project will take. Professor Creswell, in the video “When Should I Choose a Mixed Methods Approach?” used a simplistic definition to identify when using quantitative research by saying it can give us broader trends, broader generalizations, and specific variables with a large population. He also did the same for qualitative, and that, too, can give us more detailed views of individuals, participants, their voices, and the setting in which they engage in the problems. The reason Mixed Methods research exists is to have that balance that will facilitate a better understanding of the research and the problem in the evaluation of the data. Byman (2011) Mixed methods research is the ideal approach if you find that using only quantitative or qualitative data won't suffice in answering your research question. Mixed-methods studies are based on hypotheses that govern the collection and analysis of data, as well as a combination of both quantitative and qualitative methods. (Wheeldon & Ahlberg, 2012).

By using both qualitative and quantitative research methods together, researchers can get a more comprehensive understanding of the challenges they are investigating. Mixed methods combine statistical analysis with real-world experience and thinking, making them a useful approach for expressing knowledge and significance. Consequently, mixed methods are gaining popularity as a valuable approach to social science research. (Creswell, 2014) George (2023) states that the mixed methods approach is frequently employed in the behavioral, health, and social sciences, predominantly in complex environments that require nuanced situational analysis or social research. This approach may provide a more comprehensive comprehension than a purely quantitative or qualitative study as it combines the benefits of both approaches. When investigating my topic, I believe the MMR method is appropriate because my variables are behaviorally related and how they interact and react to each other. One of the debates in the research community revolves around whether mixed methods are more effective than single methods in discovering information. Supporters of mixed methods argue that using only one type of research design may miss out on crucial information. For instance, if a researcher solely relies on qualitative methods to study the frequency of terrorist attacks in an area, they will not be able to determine how many attacks occur each week or month. This is because qualitative research only deals with non-numerical data. By relying on a single

method, the researcher may miss out on valuable information, which could hinder their understanding of the problem. There is an ongoing debate in this field about whether one research approach is better than the other. However, some argue that the strengths of one approach can compensate for the weaknesses of the other. This is important because it reduces the negative effects that come with using either method. By combining the advantages of both approaches, we can neutralize the disadvantages of one method with the benefits of the other. This helps to reduce the risk of collecting biased data, which in turn increases the likelihood of arriving at accurate conclusions. (Tashakkori & Teddlie 2010) References Byman, Alan. 2011. “Why do Researchers Integrate/Combine/Mesh/Blend/Mix/Merge/Fuse Quantitative and Qualitative Research?” In Advances in Mixed Methods Research, edited by Manfred Max Bergman. 86-100. Sage Publications Ltd Creswell, John W. 2014. Mixed Methods Procedures. In Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 215-239. Los Angeles, CA: Sage George, T. (2023, June 22). Mixed methods research: Definition, guide & examples. Scribbr.https://www.scribbr.com/methodology/mixed-methods- research/

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Tashakkori, A., & Teddlie, C. (Eds.). (2010). Sage handbook of mixed methods in social & behavioral research. sage. Wheeldon, J., & Ahlberg, M. K. (2012). Mapping mixed- methods research: theories, models, and measures. In Visualizing Social Science Research: Maps, Methods, & Meaning (pp. 113-148). SAGE Publications, Inc.,https://doi.org/10.4135/9781483384528

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