The bestseller that pioneered the comparison of qualitative, quantitative, and mixed methods research design continues in its Fifth Edition to help students and researchers prepare their plan or proposal for a scholarly journal article, dissertation or thesis.

Research for Designers is an essential guide for anyone doing research in Design Studies or looking to develop their design research skills.  Incorporating interviews with design experts from across the globe, this book explains how to design for the real world by learning how to understand and solve complex, intricate, and often unexpected problems.

One of the "six best books for data geeks" - Financial TimesWith over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining 'how to think' instruction with a 'how to produce' mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication. With this book and its extensive collection ...

A qualitative research book for the 'doers', this text provides really practical coverage for those that are undertaking research in real-world contexts.

This book demonstrates how to estimate and interpret fixed-effects models in a variety of different modeling contexts.

Offering guidance on doing experiments, this Little Quick Fix helps students select the most appropriate experiment for their research, collect and record their data, minimise error, and ensure their experiment is ethical and reproducible.

Research Methods in the Social and Health Sciences gives students a thorough and thoughtful introduction to the entire research process from start to finish, covering qualitative and quantitative research throughout. It lays out each step, from the literature review to ethical research to individual methods and dissemination of research.

This approachable introduction to doing data science in R provides step-by-step advice on using the 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. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical me...

An updated edition of a bestselling text that provides readers with a clear and comprehensive overview of methods for conducting management and business research.

This text brings together in one volume the range of methods available for undertaking qualitative data collection and analysis in organizations.