From narrative text to causal maps: QuIP analysis and visualisation

This paper focuses on analysing raw data to produce useful visual summaries, describing in detail the processes involved in a QuIP analysis.

The paper also discusses how QuIP analysis relates to other forms of enquiry, addresses the framing of the distinction between qualitative and quantitative research as it relates to QuIP, and provides examples of causal maps.

The QuIP approach involves identifying brief statements with causal claims, coding them, and organising the coded text to draw generalisations about the causal processes described. It generates visual summaries like causal maps in a clear, flexible manner, allowing for auditing and replication. This resource provides guidance on selecting, coding, filtering, and utilising data to create these causal maps.