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.

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.

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.

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.

This book offers an accessible critique of recent Early Childhood Educational Research, taking an international perspective, and highlighting strengths and key focus areas within the field. It will also identify areas where researchers have yet to offer significant insights that support the development of theory, policy and practice.

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.