This book is an invaluable guide to help researchers and graduate students understand ethical concerns within real-life research situations.

This book encourages students to adopt a particular mindset towards journal articles., a mindset that recognizes the many strengths of social research-especially its advantages over ordinary ways of knowing things.

With a strong focus on the interdisciplinary, this book gives practical advice for carrying out successful evaluations as well as covering the philosophical underpinnings of the associated theories - providing readers with the complete introduction to the area.

A powerful and witty exploration of gendered cyberhate, this book combines scholarly literature, online evidence and personal experiences to expose the reality of the harassment faced by women online today

This best-selling handbook has been brought fully up-to-date with coverage of recent developments in the field including social media, big data, data visualization and CAQDAS.

Social inequality is a core area of Sociology, as well as working across Pol & IR, Health and Social Work. This new edition still provides a comprehensive introduction to all areas of social inequality, complete with new chapters on sexuality, employment and migration and has been fully updated with coverage of covid-19, Brexit and the recent BLM protests and how they relate to inequality.

Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge.

With a calming, reassuring tone, Nicholas Walliman gives students the ability and confidence to plan, design, and prepare for a research project.

Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims.

The Little Quick Fix on how to Identify Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively examples it shows students what variables are and why looking for relationships between them is so interesting, and so powerful...