This book focuses on the conceptual, historical, and material maintenance of "race" and race thinking, with a particular focus on racial trauma as a system of violence enacted on marginalised identities by systemic, narcissistic structures of white supremacy.

A step-by-step guide to social work practice; assessment, planning, intervention, and review

This book looks at the essential communication skills required to become an effective social worker.Â

Straightforward and insightful, this is the go-to book for any qualitative researcher who wants to use NVivo to conduct robust data analysis.

Driven by both theory and practice, this accessible book will help you get to grips with understanding and doing grounded theory from a constructivist perspective.

This updated edition of what is becoming a classic text in the field of disability studies shows us how disability can challenge our thinking and help us to imagine a more inclusive society, offering an instructive and engaging introduction to a diverse and globally expanding subject.

This book explores the flesh and breath of African feminist politics as embodied in activism over the past thirty years against sexism, militarism, homophobia and transphobia, global economic inequality, and religious fundamentalism, and towards freedoms that can be felt by African women and gender non-conforming people in the everyday.

A cutting-edge exploration of the digitalization of ID from a data justice perspective, exploring the global injustices this process creates and contributes to – and how we can resist and undo them.

Widely acknowledged as being the first academic text to provide a critical overview of the (big) data revolution and the classification of data which it outlined is now widely used/recognised as the taxonomy in social science. The Data Revolution a canonical text in data studies and the wider social sciences.

An Introduction to Political and Social Data Analysis (With R) provides students with an accessible overview of practical data analysis while also providing a gentle introduction to the R programming environment. Author Thomas M. Holbrook patiently explains each step in statistical analysis with R, avoiding complicated tools or packages.