The only text of its kind to offer a practical 12-step process, this thoroughly-updated resource explains the basics of a research paper, how to look at the credibility of the research, how to select and read research with a critical eye, and how to understand the different types of research.

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.

This book will guide trainee teachers through each step of the teaching training process, from initial stages of planning and research, through to how to analyse data and write up a research project.

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

An engaging, practical introduction to research methods, guiding students through the challenges of developing a project, with abundant examples, activities and digital resources.

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

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.

Helping the reader get to grips with theory and apply it to qualitative analysis, the authors introduce eight analytical approaches that are key to social science 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...