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.

An introductory guide to the key concepts, themes, and topics in the discipline of sociology, providing sociology students with comprehensive coverage of all the main areas of study for their first year and beyond.

Cross-Cultural Analysis is the sequel to Culture's Consequences, the classic work published by one of the most influential management thinkers in today's times, Geert Hofstede.

Drawing on recent "event history" analytical methods from biostatistics, engineering and sociology, this book explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human-related events.