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Glossary
Causal mapping β overview
Task 1 β Gathering causal mapping data
Task 2 β Causal coding β minimalist style
Task 2 & 3 Key ideas and conventions
Task 3 β Answering questions β General
Task 3 β Answering questions β 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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Tasks 2 & 3 β Introduction
Our approach is algorithmic
Simplification - co-terminal link bundles
Hierarchical coding
Causal mapping looks for linearity first
ββ Opposites
Context
Plain coding
Table features β Statistical tests of group differences
Reporting global and local network statistics
Simplification - factor and link frequency
Simplification - hierarchical zooming
π» Simplification - factor and link frequency
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