The chapters in this book develop a working framework and contain worked examples and exercises to make sure that readers get the best results from their research and are fully versed in all the practical aspects of doing action research.

Providing readers with the introduction to doing research into digital cultures and technologies, this book considers the methodological, practical and theoretical elements of digital ethnography and demonstrates how to research experiences and relationships as well as objects and events

From selecting appropriate methods to publishing your findings, this second edition offers a multidisciplinary introduction to the qualitative research process built around the authors' Qualitative Research Cycle - consisting of the design, data collection and analytic cycles.

This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.

This concise and practical guide explores the use of Conversation Analysis as a method for conducting research in a business and management Masters dissertation.

Written with Jean McNiff's trademark enthusiasm and accessibility, this book - complete with a practical workbook - gives readers all they need to be able to do action research in their own context with confidence.

In this engaging and well-illustrated volume of the SAGE Quantitative Research Kit, Peter Martin helps you make the crucial steps towards mastering multivariate analysis of social science data, introducing the fundamental linear and non-linear regression models used in quantitative research. The author covers both the theory and application of statistical models, with the help of illuminating graphs.

This book gives you the tools to conduct your own documentary research and celebrates the importance of documentary analysis across the social sciences.

This book offers insight into how to secure, manage and effectively research funding in the changing order of global economy and competing research priorities.