This text provides a reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference.
This is a book that will rapidly be recognized as the bible for social researchers. It provides a first class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars…
This book provides a peerless guide to key issues in data analysis, from fundamental concerns such as the construction of variables, the characterization of distributions and the notions of oinference, to the more advanced topics of causality, models of change and network analys…
Revolution -- Evidence -- Tradition -- Macroanalysis -- Metadata -- Style -- Nationality -- Theme -- Influence -- Orphans.
Practical advice on preparing data, setting up a new project in Atlas.ti, developing a coding system, asking questions, finding answers and preparing results. The book features: methodological as well as technical advice, practical exercises and examples, screenshots showing eac…
This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel's first experiments to genome-wide association studies, the book describes how genetic informa…
A practical sourcebook for researchers who make use of qualitative data, presenting the current state of the craft in the design, testing, and use of qualitative analysis methods. Strong emphasis is placed on data displays matrices and networks that go beyond ordinary narrative …
The second edition of Bayesian Data Analysis continues to emphasize practice over theory, clearly describing how to conceptualize, perform, and critique statistical analyses from a Bayesian perspective. Its world-class authors provide detailed guidance on all aspects of Bayesian…
