This approachable introduction to doing data science in R provides step-by-step advice on using data science tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually.

Grounded in real examples, this book gives you the skills and confidence to conduct rich, systematic analysis of print and digital documents.

Exploring the challenges and obstacles that need to be overcome in education research, this text offers universal guidance that the reader can apply to their own research project.

An insider's guide to what university tutors really want from an essay or assignment, this witty guide gives you practical tips and techniques on how to craft the perfect assignment and achieve the best grades.

Packed with features like case studies and checklists, this accessible book gets you up and running so you can both understand interview research and use it in your project.

Whether a research student or experienced researcher, this book explains how to conceptualise and ethically conduct research, analyse and theorise from multiple perspectives, and disseminate and publish.

Acting as a practical and theoretical guide to doing narrative research, this book considers issues such as reflexivity, interpretation and the research context, helping readers to gain a well-rounded view of narrative methods research

A thorough and intelligent intro to the theory and method of Q from big name authors in a market where there is little competition.