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...

This book is a step-by-step introduction to doing qualitative research, supporting you through every milestone of your research project, no matter the type of data or research tools you use.

To make meaningful contributions and to drive innovation, designers first need to learn to ask the right questions so that they can identify what the real problems are. They also need to learn how to conduct research to resolve these problems. Research for Designers is a guide to this new, evidence-based creative process.

This seminal, bestselling book by Gjoko Muratovski is unique in the way it bridges academia and industry, as well as research and practice. The book also expands the notion ...

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.

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

Addressing a key area for researchers and academics, this practical text provides readers with all they need to know about the process of applying for research funding.

This comprehensive manual offers direction for every step of the thesis or dissertation process, from choosing an appropriate topic to adapting the finished work for publication.

In this fully updated and expanded second edition, Carol Grbich provides a guide through current issues in the analysis of qualitative data.