mixed-methods-integration

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Design and execute convergent, explanatory sequential, and exploratory sequential mixed methods research designs

AI & Automation 814 stars 53 forks Updated today MIT

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Skill Content

# Mixed Methods Integration Skill Design and execute mixed methods research integrating quantitative and qualitative approaches effectively. ## Overview The Mixed Methods Integration skill enables design and execution of convergent, explanatory sequential, exploratory sequential, and other mixed methods research designs for comprehensive understanding through integration of quantitative and qualitative approaches. ## Capabilities ### Design Selection - Convergent design - Explanatory sequential - Exploratory sequential - Embedded design - Transformative design ### Integration Strategies - Data merging - Connecting approaches - Building methods - Joint displays - Mixed methods matrices ### Timing and Priority - Concurrent collection - Sequential phases - Priority determination - Phase integration - Timeline management ### Quality Criteria - Legitimation criteria - Integration rigor - Inference quality - Design fidelity - Transparency ### Reporting Standards - Joint reporting - Parallel reporting - Staged reporting - Integration evidence - Mixed methods notation ## Usage Guidelines ### When to Use - Addressing complex questions - Triangulating findings - Developing instruments - Explaining results - Building comprehensive understanding ### Best Practices - Justify design choice - Plan integration explicitly - Document procedures - Report integration - Maintain methodological integrity ### Integration Points - Quantitative Methods skill - Qualitative Analysis skill ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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