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.

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.

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.

"A thoughtful, thorough and readable account of the history and current practice of qualitative research in health." - Louise Keogh, Population and Global Health, University of Melbourne

Cross-Cultural Analysis is the sequel to Culture's Consequences, the classic work published by one of the most influential management thinkers in today's times, Geert Hofstede.

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.