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Douglas Ezzy explains the difference between inductive, deductive and abductive theory building, provides a guide to computer-assisted analysis and outlines techniques such as journal writing, team meetings and participant reviews.
Data Science and Analytics explores the application of big data and business analytics by academics, researchers, industrial experts, policy makers and practitioners, helping the reader to understand how big data can be efficiently utilized in better managerial applications.
Introduces new graph theory techniques for the analysis and integration of multi-type large data sets) in the life sciences. Discussing... Læs mere
This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It... Læs mere
This is the first comprehensive overview of the exciting field of the 'science of science'. With anecdotes and detailed, easy-to-follow explanations of... Læs mere
Helping to bridge the gap between data gathering and data analysis, this book is based on a set of easy-to-follow steps woven throughout the text, enabling students to get stuck in and working with qualitative data fast.
This undergraduate textbook serves a course in quantitative thinking by asking a wide variety of real-world questions, such as should I take this drug for my... Læs mere
While population affects nearly every aspect of politics, its impact has been strikingly under-researched. This book rectifies this omission by examining... Læs mere
Management research is criticised for poor research practices and not addressing important problems. Tourish proposes fundamental... Læs mere
With contributions from a global spread of scholars, this book is a timely guide to comparative ethnographic methods and tools, allowing... Læs mere