Through developing a decomposition analysis of the inequality measures and promoting their effective use in research, this book provides readers with a step-by-step understanding of the inequality measures that are currently used.

Provides an authoritative and informed analysis of key issues in international migration, including its crucial significance far beyond the more traditional questions of immigrant settlement and incorporation in particular countries.

This book presents a research model which can be used in the community in order to tackle problems and grow.

Provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions

Provides an introduction to the major theories, methods and findings of social network analysis research and the applications from that research.

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.

Covering all aspects of the proposal process, from the most basic questions about form and style to the task of seeking funding, this Sixth Edition has been completely updated and revised to offer clear advice backed up with excellent examples.