Serves as a guide for professionals who work with people experiencing bereavement through death and other forms of loss. Focusing on practical assessment and intervention strategies, this book guides readers through the theory and skills needed to work with clients in a way which initiates healing and promotes a sense of growth.

Focusing on the use of technology in survey research, this book integrates both theory and application and covers important elements of survey research including survey design, implementation and continuing data management.

This popular text has a "how to" and "here's what you need to do" approach to ethnographic research, taking the mystery out of the research process and making ethnography accessible to the reader.

This ground-breaking book offers an innovative approach to grounded theory - situational analysis - useful in a wide range of qualitative research settings. It also features chapters on mapping and analyzing discourse materials - narrative, visual and historical.

A new research project guide for social science students used to hybrid teaching and research; it comes from two young, energetic methods experts who map the individual’s journey through a contained project.

A practical toolkit for students needing an alternative introduction to doing research methods. Imaginative pedagogy and visual prompts support those students often neglected by more traditional textbooks.

A short, innovative book that uses examples and evidence from around the world to analyse the concept of fake news and outline what we know about it, before proposes what we should do about this dangerous phenomenon.

The standard teaching text for Data and Society modules explaining to undergraduates, in different social-science disciplines, the Big Data Revolution in an accessible and critical way.

Your all-in-one guide to completing a systematic review, including advice on working with all kinds of data and supported by a wealth of real-life examples.Â

This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics