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.

Part of The SAGE Quantitative Research Kit, this book is an ideal companion for those looking to undertake survey research. Anchored by lots of case studies of real research and expert interviews to strengthen your understanding, it provides guidance on the range of skills needed for watertight survey research and sampling.

An up to date, topical book which explores how society and politics are being shaped by the rise of technology, for good and for bad. Written for both an academic and general audience, this book examines how technology has the power to reshape our civic participation, our economic and political governance, and our entire existence.

This book provides guidance on how to set up mentorship programmes in your institutions, and the skills of an effective mentor.

Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.

Taking students through the essentials of managing, coding and interpreting interview data, this Little Quick Fix helps them master interviews as a data collection method.