This bestselling guide offers students and researchers the key skills they need to complete a visual methods research project, with a clear step-by-step approach and examples to demonstrate how methods can be applied in practice.

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.

Written by high-calibre contributors, this new edition covers the ethical issues relevant to researchers today (e.g. digital data sharing/regulation) with a real world focus and practical examples.

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

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.

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.