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

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.

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.

A concise and student-friendly companion to a subject that's central to sociology degrees, and yet can often seem dense and impenetrable to undergraduates approaching the classics for the first time.

An impassioned and controversial new book from two leading sociologists in the field of social exclusion. They argue that social exclusion is not simply seen in ghettos or sink estates, but also in exclusive gated housing developments, the vacuous non-places of the shopping mall, the deadening reality of low-level service work, and in the depressing uniformity of our political parties.

This concise and practical guide explores the use of focus groups as a method for conducting research in a business and management Masters dissertation.