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Research Methods: Mixed-Methods Research in Health
Using a combination of qualitative and quantitative information is often considered to be the preferred approach because it allows for a more comprehensive understanding of a subject under study. Quantitative information provides numerical data and can be used to identify patterns and trends, while qualitative information offers insights into the reasons and motivations behind these patterns. This combination of data allows for a well-rounded understanding of a subject and can provide a more accurate picture than either type of data alone. Additionally, using both types of information can help to triangulate findings and increase the validity and reliability of research.
A mixed research method, which combines both quantitative and qualitative research approaches, is important in nursing because it allows researchers to gain a well-rounded and comprehensive understanding of the subject they are studying. According to Wasti et al. (2022), the overall goal of the mixed-methods research design is to provide a better understanding, by providing a fuller picture that can enhance description of the phenomena (p. 1176). By using a mixed research method, researchers can collect both numerical data and in-depth, detailed information from participants, which can provide a complete picture of the phenomenon being studied. This can help researchers to identify patterns and trends in the data, as well as to gain insights into the experiences and perspectives of individuals involved in the study. Specifically, qualitative data can help to identify existing issues and challenges, as well as identify new opportunities for improvement. On the other hand, quantitative data can be used to evaluate the effectiveness of interventions, analyze trends in healthcare practices, and compare one population with another.
Reference
Wasti, S. P., Simkhada, P., Van Teijlingen, E., Sathian, B., & Banerjee, I. (2022). The growing importance of mixed-methods research in health. Nepal Journal of Epidemiology, 12(1), 1176. Web.
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