Providing readers with the introduction to doing research into digital cultures and technologies, this book considers the methodological, practical and theoretical elements of digital ethnography and demonstrates how to research experiences and relationships as well as objects and events

Packed full of case studies, activities and hints and tips for best practice, this book gives coaching and mentoring trainees the knowledge and skills they need to make the best start in their research career.

A step-by-step approach to guide students through the whole research process, from initial ideas, through to writing up and presenting the findings.

Guiding you through how to plan your research project, this Little Quick Fix covers everything from how to get started and the stages of research, to avoiding procrastination and staying on track.

The Practice of Evaluation: Partnership Approaches for Community Change provides foundational content on evaluation concepts, approaches, and methods, with an emphasis on the use of evaluation and partnership approaches to effect change. Real examples in every chapter illustrate key ideas and concepts "in action" on topics such as organizational development, capacity building, program improvement, and advocacy. Editors Ryan P.

Kilmer and James R. Cook, and the chapter authors, highlight pragm...

This brief book frames the big puzzles and, through lively stories and clear examples, provides a valuable how-to guide for producing analysis that works.

The fourth edition of Content Analysis introduces students and scholars to a method of analysing the textual fabric of contemporary society, exploring the conceptual aspects, key components and evaluative techniques of content analysis.

Data Science for Business with R focuses on the concepts foundational for students starting a business analytics or data science course. The book features running case using an airline business's customer survey dataset to illustrate how to turn data in business decisions. The text also features full integration of R and RStudio software.

This book is an invaluable guide to using grounded theory (GT) effectively in business and management dissertations, and offers practical guidance and insight into how to successfully transcribe and analyse data using the GT approach in students' own research project.