Models in Statistical Social Research

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A01=G?otz Rohwer
analytical models in social research
Author_G?otz Rohwer
Category=GPS
Category=JB
Category=JHB
Category=JHBC
Category=KCH
Category=PBT
Child's Educational Success
childs
Child’s Educational Success
comparative causality
Covariate Context
Data Generating Process
educational
endogenous
Endogenous Variable
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
functional
functional causality
Functional Models
functions
Generic Causal Statements
Independent Repetitions
Individual Level Model
Individual Level Variable
Multilevel Model
multilevel modelling
observational study methods
Population Level Models
Population Level Variable
Potential Outcomes Approach
Process Frames
Property Space
Random Generator
reference
Reference Set
Regression Functions
set
social data analysis
Statistical Social Research
stochastic
Stochastic Effect
Stochastic Function
stochastic processes
Stochastic Variables
success
Time Axis
Timed Process Frames
Unobserved Variables
variables

Product details

  • ISBN 9780415560559
  • Weight: 385g
  • Dimensions: 156 x 234mm
  • Publication Date: 23 Nov 2009
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

G¨otz Rohwer is professor of methods of social research and statistics at the Ruhr-Universit¨at Bochum (Germany). He has published books and articles on statistical methods, in particular for longitudinal data analysis.

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