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.

About the Author

Gotz 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.

Book Information
ISBN 9780415534215
Author Gotz Rohwer
Format Paperback
Page Count 160
Imprint Routledge
Publisher Taylor & Francis Ltd
Weight(grams) 300g