Causal Mapping outputs not just codes but a model you can query to answer useful questions

💐 Causal Mapping: A garden of ideas

(⚒️ Work in progress!)

Glossary
- Glossary
Causal mapping – overview
Task 1 – Gathering causal mapping data
Task 2 – Causal coding – minimalist style
Task 2 & 3 Key ideas and conventions
Task 3 – Answering questions – General
Task 3 – Answering questions – Individual questions
Causal mapping in evaluation
Causal Mapping as QDA
Causal Map app and alternatives
- Causal mapping with kumu
Deductive coding with AI
- Intro – deductive auto-coding
- The deductive autocoding prompt
Inductive coding with AI
Improving rigour in the use of AI in social science
Qualia
Case studies
Getting philosophical
AI and the wider world
Finally
Causal Map App

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Chapters▼

Chapters

Home Glossary Causal mapping – overview Task 1 – Gathering causal mapping data Task 2 – Causal coding – minimalist style Task 2 & 3 Key ideas and conventions Task 3 – Answering questions – General Task 3 – Answering questions – Individual questions Causal mapping in evaluation Causal Mapping as QDA Causal Map app and alternatives Deductive coding with AI Inductive coding with AI Improving rigour in the use of AI in social science Qualia Case studies Getting philosophical AI and the wider world Finally Causal Map App

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Pages▼

Pages in this chapter

Intro Causal mapping is a simple yet powerful form of qualitative coding Causal Mapping outputs not just codes but a model you can query to answer useful questions Causal mapping is easy to automate transparently, so is a great fit for scaling with AI Brief review of S Friese – Conversational Analysis to the Power of AI

🌻 Causal Mapping outputs not just codes but a model you can query to answer useful questions