Explanatory Sequential Design in Mixed Method Research
What's that all about?
Comprehensive Guide to Implementing Sequential Design in Mixed Methods Research: An Explanation
Explanatory Sequential Design is a type of mixed methods research, where researchers collect and analyze quantitative data first, followed by qualitative data to offer reasons or expand on the quantitative findings. This research method is popular because it helps understand complex phenomena better when quantitative results need further explanation.
What's the deal with quantitative and qualitative data?
Quantitative data deals with numerical and statistical information, while qualitative data focuses on words, descriptions, and experiences. In Explanatory Sequential Design, researchers start with quantitative data collection and analysis to identify trends or relationships. Afterward, they collect qualitative data to dissect these findings, offering more in-depth insights and explanations.
How's it different from exploratory sequential design?
Exploratory Sequential Design starts with a qualitative phase to gather in-depth insights, follows it with a quantitative phase to test or validate those insights. In contrast, Explanatory Sequential Design dives right into quantitative data before moving to the qualitative portion.
What are the advantages and disadvantages?
Ex explanatory Sequential Design has its perks and pitfalls. Some advantages include:- In-depth insights: Gain deeper information about quantitative findings, providing a more comprehensive understanding- Targeted sampling: Select qualitative participants based on findings from the initial quantitative phase- Flexibility: Ability to go back to participants if more qualitative data is needed- Holistic understanding: Combining both types of data leads to a more comprehensive understanding of research questions
However, it also has some disadvantages:- Lengthy process: Takes more time and resources due to the sequential nature of data collection and analysis- Bias risk: The qualitative phase might be influenced by initial quantitative findings, creating potential bias issues- Complexity: Requires a high level of methodological expertise since it involves integrating both quantitative and qualitative methods- Participant fatigue: Some participants may get tired or lose interest if asked to participate in multiple phases of data collection
In summary, Explanatory Sequential Design is a helpful tool for gaining a deeper understanding of complex phenomena; nevertheless, it needs careful planning and execution to avoid its disadvantages.
Fun Fact
When conducting mixed methods research, the most appropriate design depends on the research question and objectives. If you need to clarify or elaborate on quantitative results, an Explanatory Sequential Design could be your best bet! But remember - make sure you've got the expertise to handle it!
For Further Reading
- Creswell, J. W., & Clark, V. L. (2018). Designing and conducting mixed methods research (3rd ed.). SAGE.
- Teddlie, C., & Tashakkori, A. (2019). Handbook of mixed methods in social & behavioral research (3rd ed.). SAGE.
- Johnson, R. B., Onwuegbuzie, A. J., & Turner, L. A. (2004). Practical issues in the design and analysis of mixed method research. Educational Researcher, 33(7), 5-22.
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- In the context of workplace-wellness programs, this research method could be employed to understand the effects of various interventions on employees' health and wellness.
- Medical-conditions, such as chronic diseases like cancer, respiratory conditions, and autoimmune disorders, can be studied more comprehensively using Explanatory Sequential Design.
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- Therapies and treatments for mental-health issues, mens-health concerns, and neurological disorders could also benefit from this research approach.
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