Quantitative and Qualitative Research

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Mixed methods research is a process of incorporating the collection, analyzation, and interpretation of qualitative and quantitative data in a study that is investigating the same topic. There are several benefits in the utilization of the mixed methods, such as the comparison of qualitative and quantitative data to observe the contradiction between the results and providing a more complex and comprehensive understanding of the studies. There are various types of mixed methods, such as the sequential explanatory design, sequential exploratory design, concurrent nested design, and concurrent triangulation design (Terrel, 2011).

The sequential explanatory design is a process where the collection and analysis of quantitative data is processed first, followed by the collection and analysis of qualitative data. Afterward, the data is integrated for interpretation to provide a more in-depth exploration of the results and help to explain unexpected findings. The sequential exploratory design is a process where the collection and analysis of qualitative data is processed first, followed by the collection and analysis of quantitative data. Afterward, the data is integrated for interpretation and this method is used for testing components of a theory, generalizing the qualitative finding to different samples, and developing and testing new instruments. The concurrent triangulation is the process where qualitative or quantitative data collection and analysis are processed separately, yet concurrently. This allows a complete understanding of the topic and allows supportive findings. Lastly, concurrent nested design is a process where although both qualitative and quantitative data are being processed concurrently, one data is more embedded within the other. This allows a broader and comprehensive perspective on the topic and limit any weakness that may occur (Terrel, 2011).