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...

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.

An accomplished and thought provoking study of everyday 'reality' and how we represent, perceive and experience it. With examples throughout, it offers readers an exciting new way of understanding identity, perception and culture.

Exploring the historical, theoretical and practical bones of modern case study research, and featuring an extended example that has been annotated line by line, this book takes readers through the complexities of case study research.

An original, path-breaking exploration of power in contemporary social science and humanities, from one of the biggest names in the field today.