This book gives you the tools to conduct your own documentary research and celebrates the importance of documentary analysis across the social sciences.

Published in association with the International Sociological Association, and part of the SAGE Studies in International Sociology series, this is a detailed and critical exploration of the history of professionalization in Europe.

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.

The Logic Model Guidebook offers clear, step-by-step support for creating logic models and the modeling process in a range of contexts.

This interdisciplinary text examines five different components of family health--biology, behavior, social-cultural circumstances, the environment, and health care--and the ways they affect the abilities of family members to perform well in their homes, workplaces, and communities.

Widely acknowledged as being the first academic text to provide a critical overview of the (big) data revolution and the classification of data which it outlined is now widely used/recognised as the taxonomy in social science. The Data Revolution a canonical text in data studies and the wider social sciences.

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.

Material Methods brings introduces students and researchers to the wide range of cross-disciplinary methods which help us to approach and interpret material culture and materials.

This book boldly pursues the challenge to teach researchers not just how to collect and analyze data but how to actively think about them.