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.

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.

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.

Building on the acclaimed and successful previous editions, the Third Edition provides further critical updates and illustrations of the applications of reflexive methodology in formulating research strategies.

This book presents a research model which can be used in the community in order to tackle problems and grow.

Provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions