This handbook provides a comprehensive and authoritative overview of qualitative research methods, specifically compiled for this market.

Now in a fully updated third edition, The Sociology of Work draws on the work of classic and contemporary theorists, to provide readers with a thorough exploration of all aspects of work and employment, including paid and unpaid work, standard and non-standard employment, and even unemployment.

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.

Identifying the practicalities and key challenges of carrying out organisational research, this important new book introduces students across disciplines to all that is involved with this type of fieldwork

Going beyond a general introduction to offer a hands-on guide, Participatory Research empowers students to feel confident understanding and applying participatory methods to their research projects.

Introducing mixed methods alongside basic research theory and principles, this text fully integrates mixed methods into the research methods foundation, providing a straightforward introduction to the topic.

Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to apply newfound knowledge using IBM SPSS Statistics, but also why they would want to - all supported by lots of visuals, interactive demonstrations, author videos, and practice datasets.