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.

This second edition handbook provides a retrospective and prospective overview of the state of knowledge on leadership as a multidisciplinary field, and utilises an innovative structure to create synergies between different leadership schools.

In the quest for competitive advantage, navigating change can be daunting. Following a unique, four-part structure focussing on & confronting strategic issues, sensing opportunities and threats choosing strategies and transforming organizations, this essential textbook offers a fresh and provocative perspective on strategic management.

With a new chapter on visual storytelling and expanded coverage of digital and social media platforms, the third edition of this bestselling text explains the principles and techniques required to become a successful - and valued - journalist.

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.

This book aims to give non-Muslim teachers the confidence to engage meaningfully with important facets of Muslim pupils' lives leading to a richer and more rewarding experience in the classroom.

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

This book gives a broad, easy-to-read overview of the cultural, social and political ideas that have shaped our education system and how we think about the concept of Education. This new edition has been updated with new chapters, a new case study feature and coverage of hot topics trending today.

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.

This book builds on the previous book by the same authors, An Introduction to R for Spatial Analysis and Mapping, to consider Spatial Data (ie the location attached to data), issues of inference, linking Big Data, Geography / GIS / Mapping and Spatial Analytics. A 'learning by doing' text book, it covers important theoretical issues and helps to develop practical skills in the reader for addressing these.