Review:
Explanatory Sequential Design
overall review score: 4.2
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score is between 0 and 5
The explanatory-sequential design is a mixed methods research approach that involves initially collecting and analyzing quantitative data to identify general patterns, followed by qualitative data collection to explain, interpret, or expand upon the quantitative results. This design allows researchers to gain comprehensive insights by integrating both numerical and textual data in a sequential manner.
Key Features
- Sequential structure: quantitative phase followed by qualitative phase
- Emphasis on explaining or elaborating quantitative findings
- Integration of multiple data collection methods
- Flexibility to adapt based on initial results
- Emphasis on understanding complex phenomena through multiple perspectives
Pros
- Provides a comprehensive understanding by combining numerical and descriptive data
- Allows for validation and clarification of initial findings
- Flexible design adaptable to various research questions
- Effective for exploring complex or layered issues
Cons
- Can be time-consuming due to sequential phases
- Requires expertise in both quantitative and qualitative methods
- Potential challenges in integrating data types effectively
- May face resource constraints in terms of effort and cost