Building confidence in causal maps generated from purposive text data: mapping transcripts of the Federal Reserve

A systematic way to code qualitative text data to generate causal maps for system dynamics modeling and practical guidelines for systematic and reliable ways to ground simulation models in qualitative textData in order to build higher levels of confidence in models are explained.