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.

Detailing the steps involved in planning and carrying out a comprehensive approach to monitoring a process or new programme, policy or practice implementation in an organization, this book will develop students' skills in program evaluation, specifically in implementation monitoring.

Containing numerous step-by-step examples throughout, this new edition introduces readers to how to use IBM SPSS to plan a study, prepare data for analysis, perform the analysis and interpret the output.

Addressing a common question posed by researchers, this book introduces readers to power analysis and sample size determination and clearly illustrates why sample sizes need to be sufficiently large to give good power properties and low error rates.

This comprehensive book provides guidelines for applying mixed-methods research in the development of culturally specific intervention programs and the subsequent evaluation.

Focussing on applied knowledge and providing straightforward coverage of R objects and functions, this introduction helps students with little or no background in statistics or programming to develop real-world R skills.