Cutting edge guide to applying the latest advancements in digital methods to social research.Â

Designed to help students think critically about the skills and knowledge they need to understand and tackle inequality, and provide meaningful help to those people most in need.

An accessible introduction to social work practice with adults written in collaboration with service users, carers and practitioners.

Written for a wide audience, from undergraduate and graduate students to citizens and activists, this engaging text explains how economics can help us to better understand the development of digital technologies. Â

Action Research is an invaluable guide to novice researchers from a diversity of disciplines, backgrounds, and levels of study for understanding how action research works in real-life contexts. It helps students see the value of their research in a broader context, beyond academia, to effect change on a larger scale.

Race, Culture and Media is a critical, impassioned and accessible exploration of this complex relationship. Anamik Saha outlines the theories, concepts and research you need to know in order to make sense of race, culture and media today - moving beyond simplistic notions of ‘diversity’ to really engage with issues of both power and participation.

The accessible and student-friendly 'how to' for anyone using R for the first time to analyse location-based data.

Taking an approach that celebrates the individual identity of all learners, and underpinned by an awareness of the complexity of language around the topics of Sex and Gender, this book offers a careful evaluation of the 2020 Relationship and Sex Education policy for schools in England, and how schools can offer intelligent, socially responsible, sex education that goes beyond simply meeting statutory requirements.

As one of the few teaching textbooks in the market about longitudinal research and data, this book provides a strong foundation in the fundamentals of longitudinal research, discussing core issues such as study design, sampling, attrition and missing data.