Multimethod Approach
A research methodology that combines multiple methods or approaches to address a complex problem, leveraging the strengths of each while mitigating their individual limitations. This approach is foundational in qualitative research for enhancing validity and depth.
Key Characteristics
- Triangulation: Uses different data sources, methods, or theories to validate findings.
- Complementarity: Combines methods to provide a more comprehensive understanding than any single method could.
- Initiation: Uses one method to question or challenge findings from another.
- Expansion: Uses multiple methods to explore different aspects of a phenomenon.
Applications
- Healthcare Research: Often used to evaluate complex interventions or systems.
- AI Governance: Helps assess ethical, technical, and organizational dimensions of AI implementation.
Foundational Literature
- Qualitative Research Methods 4th Edition (Pranee Liamputtong, 2013): Provides authoritative guidance on qualitative frameworks, emphasizing the integration of multiple data sources to ensure robust analysis and credibility in non-quantitative studies.
Related Concepts
References
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