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

This book provides an introduction to community-based ethnography and other applied approaches to conducting qualitative research. It offers both a background in related theory and research, as well as hands-on activities and step-by-step guidelines.

Offers an introduction to the study of consumerism and consumption from a sociological perspective. The author examines what we buy, how and where we consume, the meanings attached to the things we purchase, and the social forces that enable and constrain consumer behavior.

Using real research on antisocial behaviours such as cyberbullying, prejudice and discrimination, this text helps readers across the social sciences to understand the underlying theory behind statistical methods.

Provides readers with effective methods for evaluating health programs and offers expert guidance for collaborating with stakeholders involved in the process.

Offers a fresh and creative approach to the research process based on author James V. Spickard's decades of teaching experience.

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.

Addressing the immensely important topic of research credibility, Raymond Hubbard's work proposes that we must treat such information with a healthy dose of scepticism.

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.