Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout the text, enabling students to get stuck in and working with qualitative data fast.

The leading guidebook for social network students and researchers, particularly those using NetDraw and UCINET data analysis software, now with updated tools, methods and statistical models.

An engaging, practical introduction to research methods, guiding students through the challenges of developing a project, with abundant examples, activities and digital resources.

Drawing on the authors' 30 years of combined experience in the field, this authoritative, step-by-step guide to conducting focus groups features dedicated chapters on all aspects of the research process.

Using genuine examples from across the social sciences the Second Edition provides extensive in depth treatment of the subject matter to provide readers with both a conceptual understanding of each method as well as showing them how to apply it.

An encyclopedic introduction to research, showing students how to think about every stage of their project and equipping them with the tools they need to understand different research processes.

Created by the combined experience of a leading social scientist and the chief executive of a major international research development institution, this book will be a standard work of reference for new research leaders, in any discipline or country, looking for help and inspiration.

This exciting new text helps researchers to successfully understand and achieve impact in their research, and to demonstrate this impact in order to secure funding and to show excellence in REF

A hands-on, start-to-finish guide to qualitative research, showcasing the complexities and interrelationships of different methods and strategies, taking a flexible, cyclical view of research, rather than a linear one.

Flora provides a comprehensive survey of the major statistical procedures, along with an innovative model-based approach, teaching researchers how to understand and choose the best model to fit their data.