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.

A detailed and critical analysis of the multiple types of entrepreneurship, helping students to understand the practical skills and theoretical concepts needed to create their very own entrepreneurial venture. Split into two parts, the book provides an even balance between theory and practice. Part 1 covers the practical activities involved in new entrepreneurial ventures, and Part 2 uses the latest research to explore entrepreneurship from different perspectives.

The second edition features ...

Focused on the needs of the new classroom researcher and those studying education on Masters-level courses, this is a thorough and thoughtful guide to the research process, covering qualitative, quantitative and mixed research methods.

This book identifies the mindset, processes, and actual behaviors that contribute to successful reform efforts and provide school leaders with concrete tools enabling them to be more effective.

Written using clear language this book shows how health promotion can be implemented while drawing on the main theories, models and evidence that inform practice. The book covers essential topics like lifestyle changes, health screening and patient education.

This book supports teachers to plan, assess and develop children's writing for a range of purposes in a range of styles. Chapters focus on different subjects exploring the different opportunities for writing across curriculum areas.

With this guide to mindful practice, teachers will learn how to use mindfulness in their own professional and personal lives as well as how to incorporate it in their teaching to support student wellbeing.

A guide to balancing academic work, placements and home life to help students to stay the course and succeed at their studies!

An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.