Providing concise, focussed introductions to everything from the central research methods, to ethics, to metaphysics, and with helpful features such as real-world examples, cross-references and lists of key thinkers, this guide is an ideal introduction.

With a real focus on the practical, this book provides students with a step-by-step approach, plenty of real-life examples, and downloadable data and exercises on the accompanying study website to help take the fear and intimidation out of multilevel modeling

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...

The communication of scientific research raises big questions about the kind of societies we want to live in. Through a range of case studies, from museums to Facebook to public parks, Exploring Science Communication shows you how to understand and analyse the complex and diverse ways science and society relate in today's knowledge intensive environments.

This book addresses how newer researchers can proactively plan, write, promote and disseminate their work, and increase their chances of both academic citation and real-world impact.