Data Visualisation in Qualitative Research - A Step-By-Step Guide

Step-by-step advice on how to create simple, impactful data visualisation specifically using qualitative data. It can be used as an upgrade to your QDA training or as a standalone data visualisation textbook. 

List of contents

Part 1: The power of visualizations
Chapter 1: Introduction
Chapter 2: The power of visualizations and graphics in qualitative data
Part 2: An eight-step method for visualizing qualitative data
Chapter 3: Preparing the data to be visualised (Steps 1-3)
Chapter 4: Composing your data visually (Steps 4-6)
Chapter 5: Getting and implementing feedback (Steps 7-8)
Part 3: Practical aspects for producing and disseminating your visualizations
Chapter 6: Thinking about space, balance, colour and arranging elements correctly
Chapter 7: Collaborating with a visual artist
Chapter 8: Sharing your visualization
Part 4: A visual summary of the book
Chapter 9: A visual summary of the book

About the author

Dr. Maria Loroño-Leturiondo is a postdoctoral researcher at the Basque Centre for Climate Change, Spain. She received her doctoral degree from Manchester Metropolitan University, master's degree from the University of Copenhagen, and bachelor degree from the University of the Basque Country. She has taught qualitative and quantitative courses on social research methods. Her research interests include adaptation to climate change as well as science communication. She has produced design work for different scientific outputs including books, conferences, journals, and events.

Product details

• Authors: Lorono-Leturiondo, Maria Lorono-Leturiondo, Loroño-Leturiondo
• Publisher: Sage Publications Ltd
• Languages: English
• Product format: Paperback / Softback
• Release: 01.11.2025
• EAN: 9781529601671
• ISBN: 978-1-5296-0167-1
• No. of pages: 168
• Subjects: Natural sciences, medicine, IT, technology > Natural sciences (general); Social sciences, law, business > Media, communication > Communication science; SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Methodology, Data science and analysis: general, Research methods: general, For higher / tertiary / university education