Taking a very hands-on approach with the use of real-world datasets, case studies and R (a free statistical package), this book supports students and practitioners to explore a range of marketing phenomena using various applied analytics tools.

A practical, step-by-step guide to your qualitative research project, featuring interactive Silverman workshops to help you to think critically about research and choose the best path for your project.

This book is an easy-to-read guide to the most common medications for mental health issues. It provides facts on all of the main mental health drugs while also explaining the pharmacology and care considerations.

Designed to work across academic disciplines, this is a practical, theory-informed resource for anyone teaching in the higher education sector.

Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision making.

An introduction to the elements of tourism covering topics such as changing government policy, VR tourism and the metaverse, climate change, sustainable tourism and the Sustainable Development Goals (SDGs). This fourth edition has been updated to include the impact of Covid-19 on the tourism industry.

Spanning the full research process, from philosophy and ethics to design and methods and through data collection, management, analysis, and dissemination, this handbook focuses specifically on the practicalities needed to conduct effective and culturally responsive research in the Asian context.

This book introduces 15 foundational studies in cognitive psychology, inviting you to consider the limitations and lasting impact of these studies on the field. This second edition has been updated with the most recent research.

Mapped to the 2018 NMC Standards, this book helps students develop the skills they need to make and apply sound clinical decisions. Clinical scenarios illustrate decision-making in different practice settings, while activities give students the chance to build confidence in their personal and clinical judgement.

This book offers a deep dive into the guiding principles of Math Recovery (R) instruction, exploring their connections with learning theory, practical application in the classroom and their wider links to agreed concepts of high-quality mathematics teaching.