This practical guide offers an approachable introduction to doing hermeneutic phenomenological research across the health and social sciences.

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.

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.

Sharp and focused, this book provides the need-to-know information on how to design and implement a good, high quality research project. Oriented around real-world application, it emphasizes the aspects of research most relevant to conducting practice-based research. Assuming no prior knowledge, but appropriate for experienced learners, it builds knowledge at a sustainable pace.

It offers readers: - A no frills guide to methodology and the theory of conducting research - Strategies for commun...

A new edition of this popular student guide to content analysis. Widely adopted on research methods courses across the social sciences.

Creative research methods can help to answer complex contemporary questions which are hard to answer using conventional methods alone. Creative methods can also be more ethical, helping researchers to address social injustice. This bestselling book, now in its second edition, is the first to identify and examine the five areas of creative research methods:* arts-based research* embodied research* research using technology* multi-modal research* transformative research frameworks.

Written in a...

Providing a modern treatment of regression analysis, linear models and closely related methods, this book introduces students to one of the most useful and widely used statistical tools for social research.

"Covers a broad range of subjects that undergraduates in the discipline should be familiar and comfortable with upon graduation. From chapters on the scientific method and fundamental research concepts, to experimental design, sampling and statistical analysis, the text offers an excellent introduction to the key concepts of geographical research. The content is applicable for students at the beginning of their studies right through to planning and conducting dissertations.

The book has also ...