Describing how autoethnographers go about collecting, analyzing and reporting data, this book provides an historical and theoretical background, followed by methods chapters that guide students through the process.

Explaining the techniques and applications of exponential random graph modeling (ERGM) for social scientists, this is a uniquely sophisticated volume for examining social systems.

Introduces the researcher to basic methods of gathering, analyzing and interpreting qualitative empirical materials.

An introductory text for students new to the concepts of social science measurement.

Built around interviews and personal field notes of authorities and researchers, which really help readers to see what actually happens during fieldwork, this exciting new book gives practical advice on the key aspects of doing developmental fieldwork.

Covering context, concepts, and theories, as well as the practice of how to capture and visualize Geodata, this full-colour text introduces readers to the Geoweb and how best to incorporate location-based data into research.

The third edition of this bestselling text guides students and researchers through the process of doing qualitative research, clearly explaining how different theoretical approaches inform what you do in practice.

Amanda Coffey provides a systematic introduction to ethnographic methods for data collection, analysis and representation.

From renowned author Ulrike Schuerkens comes an in-depth exploration of social transformations and developments. Combining an international approach with up-to-date research, this book provides a comprehensive introduction perfect for a range of Sociology courses taught at first and second year.

The standard teaching text for Data and Society modules explaining to undergraduates, in different social-science disciplines, the Big Data Revolution in an accessible and critical way.