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.

Giving readers an insight into the minds of researchers, this book brings together the reflections of various authors on the qualitative theoretical framework they used, and how they made research design decisions based on the chosen theoretical framework.

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

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.

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.

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

This book offers a comprehensive guide to commissioning, managing and undertaking research in development work. Perfect for both students and practitioners.

This handy guide focuses on the process of writing and presenting data, enabling you to communicate your research findings in the best possible way.

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.

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