A systematic, comprehensive approach on how to conduct a review of the literature in mixed methods research.

A hands-on guide supporting both students and supervisors on the doctoral journey, helping make the process of achieving a PhD both enjoyable and productive.

With clear, step-by-step examples and inclusion of techniques that can be applied to a variety of settings, this book lays out a systematic approach to comparative case analysis based on fundamental insights of information theory

This accessible guide helps students understand why careful research design is important and provides a range of designs based on key methods along with case studies and examples, so they can critically compare and use the approach that best suits their project.

This sophisticated and cutting-edge exploration of the state of critical social theory today relates the key concepts and theorists to major contemporary developments such as globalization, social conflict and neo-liberal capitalism.

Show students at any level how to plan, shoot, and edit their own ethnographic videos within 3 weeks using desktop technology and widely available software.

With a strong focus on the interdisciplinary, this book gives practical advice for carrying out successful evaluations as well as covering the philosophical underpinnings of the associated theories - providing readers with the complete introduction to the area.

Metrics evoke a mixed reaction from the research community. Metrics hold real power: they are constitutive of values, identities and livelihoods. Using extensive evidence-gathering, analysis and consultation, the authors take a thorough look at potential uses and limitations of research metrics and indicators.

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

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.