Models in Statistical Social Research Social Research Today 1st Edition by G otz Rohwer ISBN 0415534216 9780415534215 by Götz Rohwer 0415560551, 9780415560559, 0203865804 instant download after payment.

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ISBN 10: 0415534216 
ISBN 13: 9780415534215
Author: G otz Rohwer

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.

Models in Statistical Social Research Social Research Today 1st Table of contents:

Chapter 1: Variables and Relations

• 1.1 Variables and Distributions
• 1.2 Relations in Social Data

Chapter 2: Notions of Structure

• 2.1 Statistical Notions of Structure
• 2.2 Taking Relations into Account

Chapter 3: Processes and Process Frames

• 3.1 Historical and Repeatable Processes
• 3.2 Time Series and Statistical Processes
• 3.3 Stochastic Process Frames

Chapter 4: Functional Models

• 4.1 Deterministic Models
• 4.2 Models with Stochastic Variables
• 4.3 Exogenous and Unobserved Variables

Chapter 5: Functional Causality

• 5.1 Functional Causes and Conditions
• 5.2 Ambiguous References to Individuals
• 5.3 Isolating Functional Causes

Chapter 6: Models and Statistical Data

• 6.1 Functional Models and Data
• 6.2 Experimental and Observational Data
• 6.3 Interventions and Reference Problems

Chapter 7: Models with Event Variables

• 7.1 Situations and Events
• 7.2 Event Models with Time Axes
• 7.3 Dynamic Causality

Chapter 8: Multilevel and Population-level Models

• 8.1 Conceptual Frameworks for Different Levels of Analysis
• 8.2 Models of Statistical Processes at Different Levels
• 8.3 Functional Causality and the Interplay of Levels

Conclusion:

• Synthesizing the Framework of Models and Causality in Social Research
• Implications for Research Design and Analysis
• Future Directions for Statistical Social Research

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Tags: G otz Rohwer, Models, Statistical