Now in a fully updated third edition, The Sociology of Work draws on the work of classic and contemporary theorists, to provide readers with a thorough exploration of all aspects of work and employment, including paid and unpaid work, standard and non-standard employment, and even unemployment.

Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge.

With a calming, reassuring tone, Nicholas Walliman gives students the ability and confidence to plan, design, and prepare for a research project.

Through a series of examples of statistics in the media, this book shows you how to critically assess the presentation of data in the media, to identify what is significant and to sort verifiable conclusions from misleading claims.

The Little Quick Fix on how to Identify Your Variables unlocks the gate to simple data analysis for any stats course. Packed with lively examples it shows students what variables are and why looking for relationships between them is so interesting, and so powerful...

Proposing a post-positivist, interviewee-centred approach, Giampietro Gobo and Sergio Mauceri's new book offers students and researchers a practical introduction to the process of collecting and analyzing survey data.

This book provides a balanced foundation in the principles and practices of social research, suitable for undergraduate and postgraduate students. It will be popular with lecturers who want to get their students thinking.

An accessible exploration of both long standing and contemporary arguments within this key area of social science teaching and research.

The leading experts in the field set the agenda with this book, covering the history of reflexive thought alongside a genuinely original way forward in research practice.