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.

Fundamental Statistics is designed not to just teach students how to calculate statistics, but how to interpret the results of statistical analyses in light of a research hypothesis, and to communicate the results and interpretations to a broader audience.

"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

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.

Covering all aspects of the proposal process, from the most basic questions about form and style to the task of seeking funding, this Sixth Edition has been completely updated and revised to offer clear advice backed up with excellent examples.

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

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