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 required

Components

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.
View Source Repository

Agent Skills Search Helper

Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.