Identifying the practicalities and key challenges of carrying out organisational research, this important new book introduces students across disciplines to all that is involved with this type of fieldwork

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

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.

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.

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.

Taking the reader step-by-step through the intricacies, theory and practice of regression analysis, Damodar N. Gujarati uses a clear style that doesn't overwhelm the reader with abstract mathematics.