Models in Statistical Social Research

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Sociology
Cover of the book Models in Statistical Social Research by G¨otz Rohwer, Taylor and Francis
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Author: G¨otz Rohwer ISBN: 9781135233327
Publisher: Taylor and Francis Publication: December 4, 2009
Imprint: Routledge Language: English
Author: G¨otz Rohwer
ISBN: 9781135233327
Publisher: Taylor and Francis
Publication: December 4, 2009
Imprint: Routledge
Language: English

Models 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 notions 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 notions 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Models 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 notions 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 notions 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.

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