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.

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.

Placing into perspective the meaning of evidence for evaluation professionals and applied researchers, the contributors to this book - a veritable 'who's who' in evaluation - provide observations about the diversity and changing nature of credible evidence.

Provides a unified framework for both single-level and multilevel modeling of ordinal categorical data

This book provides practical step-by-step guidance for doing grounded theory (GT) using the classic approach articulated by Barney Glaser.

Taking a "bi-level" approach, this book gives readers a complete picture of focus groups with coverage of both the "how-to" and the why, and argues against there being any one right way to do the research.

Written by experts from the UK Data Archive with over thirty years of experience in working with and teaching people to work with data, this book is the globally-reaching guide for any postgraduate student or researcher looking to build their data management skills. Â

Published in association with the International Sociological Association, this is a critical exploration of social justice and democratization, human rights, and social and economic inequality.

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.