A fully revised, up-to-date overview of a great range of visual methods data sources, including 2D, 3D, lived, living and virtual visual data.

This essential introduction to the practice and principles of CAQDAS helps readers to choose the most appropriate package for their needs and get the most out of the software once they are using it.

Identifying the practicalities and key challenges of carrying out organisational research, this important new book introduces students across disciplines to all that is involved with this type of fieldwork

Providing readers with practical, 'how to' advice and featuring plenty of worked examples, this book takes students through the entire process of doing network research

Challenging current modes of thinking, and covering areas not usually found in qualitative research texts such as social reality/ontology and quantum reality/mechanics, this book helps readers to choose and defend their research methods and to take their work beyond standard perspectives

With a particular focus on the complexities of cross-national, comparative survey research, explored by a team of international experts at local and national levels, this exciting new handbook provides readers with a cutting-edge resource.

John MacInnes takes the fear out of statistics for students, and helps to raise the standards of their quantitative methods skills, by clearly and accessibly introducing all that's needed to know about using secondary data and working with IBM SPSS Statistics.

A cornerstone of this exciting, growing discipline, this text gives readers a clear introduction to key ideas and common complexities met when doing sensory research and provides plenty of real-world examples to show the method in action.

Explaining both why and how to use mixed methods for discovering solutions to complex research problems, this book gives readers the tools to adapt approaches to suit their own research conditions.

Helping students to successfully visualise SEM by drawing on the graphical interface of EQS and providing plenty of screenshots throughout, this book assumes no prior statistical knowledge and includes practical assistance to encourage students to feel confident about using SEM for their research project.