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 communication of scientific research raises big questions about the kind of societies we want to live in. Through a range of case studies, from museums to Facebook to public parks, Exploring Science Communication shows you how to understand and analyse the complex and diverse ways science and society relate in today's knowledge intensive environments.

This book addresses how newer researchers can proactively plan, write, promote and disseminate their work, and increase their chances of both academic citation and real-world impact.

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.

Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects.

The leading experts in the field set the agenda with this book, covering the history of reflexive thought alongside a genuinely original way forward in research practice.

Covers the important new developments in meta-analysis methods over the last 14 years