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- DescriptionModels in Statistical Social Research provides a comprehensive insight of models used in statistical social research based on statistical data and methods. While traditionally understood statistical models relate to data generating processes which presuppose facts, this book focuses on analytical models which relate to substantial processes generating social facts. It formally develops individual-level, population-level, and multilevel versions of such models and uses these models as frameworks for the definition of tions of functional causality. The book further develops a distinction between the representation of states and events, which is then used to formally distinguish between comparative and dynamic tions of causality. It is shown that, due to the involvement of human actors in substantial processes considered in social research, the conceptual framework of randomized experiments is of only limited use. Instead, modelling selection processes should become an explicit task of social research.
- Author BiographyGotz Rohwer is professor of methods of social research and statistics at the Ruhr-Universitat Bochum (Germany). He has published books and articles on statistical methods, in particular for longitudinal data analysis.
- Author(s)Gotz Rohwer
- PublisherTaylor & Francis Ltd
- Date of Publication21/02/2012
- SubjectLibrary & Information Science
- Place of PublicationLondon
- Country of PublicationUnited Kingdom
- Weight249 g
- Width156 mm
- Height234 mm
- Spine10 mm
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