e3
CommunityIntegrate Qual & Quant Data
Education & Research#research methodology#data integration#qualitative#quantitative#mixed methods#meta-inference
AuthorHosungYou
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the complexity of combining qualitative and quantitative research findings, enabling researchers to draw more robust and comprehensive conclusions than either data type could provide alone.
Core Features & Use Cases
- Integration Strategy: Recommends appropriate methods (connecting, merging, embedding) based on mixed methods design.
- Joint Display Creation: Generates visual matrices (e.g., Statistics-by-Themes) to juxtapose and integrate findings.
- Meta-Inference Generation: Guides a four-step process to synthesize findings into higher-level conclusions.
- Legitimation: Provides strategies to ensure the rigor and validity of the integration process.
- Use Case: A researcher has conducted both in-depth interviews (qualitative) and a large-scale survey (quantitative) on user satisfaction. This Skill helps them create a joint display showing how interview themes align with or diverge from survey results, leading to a richer understanding of satisfaction drivers.
Quick Start
Use the e3 skill to create a Statistics-by-Themes joint display for the research question on student engagement.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: e3 Download link: https://github.com/HosungYou/Diverga/archive/main.zip#e3 Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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