This provocative book discusses a new turn in mixed methods research: merged methods. Moving beyond the binary quantitative-qualitative distinction, it shows you how to integrate methods in social research.

This book provides an adaptable, step-by-step framework for using and analysing video data in social science research in an ethical, effective way.

This book provides an adaptable, step-by-step framework for using and analysing video data in social science research in an ethical, effective way.

This book offers a four-step framework for transforming data into innovative, persuasive visualisations that will appeal to different audiences.

A practical, step-by-step guide to your qualitative research project, featuring interactive Silverman workshops to help you to think critically about research and choose the best path for your project.

This practical, user-friendly guide consists of 100 original activities that have been designed to inspire and support educators of research ethics and integrity at undergraduate and postgraduate level.

Computational approaches offer exciting opportunities for us to do social science differently. This beginner's guide discusses a range of computational methods and how to use them to study the problems and questions you want to research.

This book provides you with clear guidance on how to balance grounded theory and practice effectively by presenting multidisciplinary studies explained step-by-step.

Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.

This book addresses foundational areas of qualitative writing (such as journal articles and dissertations), aesthetic representations (including poetry and autoethnography), publishing, and reflexivity in representation in one practical and engaging text based on real experiences.