<P>This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human p
Causality and Causal Modelling in the Social Sciences: Measuring Variations
β Scribed by Federica Russo (auth.)
- Publisher
- Springer Netherlands
- Year
- 2009
- Tongue
- English
- Leaves
- 242
- Series
- Methodos Series 5
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The anti-causal prophecies of last century have been disproved. Causality is neither a βrelic of a bygoneβ nor βanother fetish of modern scienceβ; it still occupies a large part of the current debate in philosophy and the sciences.
This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, not of regularity nor invariance, thus breaking down the dominant Humean paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubinβs model, contingency tables, and multilevel analysis. It is also shown to be latentβyet fundamentalβin many philosophical accounts. Moreover, it has significant consequences for methodological issues: the warranty of the causal interpretation of causal models, the levels of causation, the characterisation of mechanisms, and the interpretation of probability.
This book offers a novel philosophical and methodological approach to causal reasoning in causal modelling and provides the reader with the tools to be up to date about various issues causality rises in social science.
"Dr. Federica Russo's book is a very valuable addition to a small number of relevant publications on causality and causal modelling in the social sciences viewed from a philosophical approach".(Prof. Guillaume Wunsch, Institute of Demography, University of Louvain, Belgium)
β¦ Table of Contents
Front Matter....Pages i-xxvii
What Do Social Scientists Do?....Pages 15-33
Probabilistic Approaches....Pages 35-52
Methodology of Causal Modelling....Pages 53-90
Epistemology of Causal Modelling....Pages 91-132
Methodological Consequences: Objective Bayesianism....Pages 133-154
Methodological Consequences: Mechanisms and Levels of Causation....Pages 155-191
Supporting the Rationale of Variation....Pages 193-209
Back Matter....Pages 211-235
β¦ Subjects
Methodology of the Social Sciences; Demography; Philosophy of the Social Sciences; Population Economics; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
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<P>This investigation into causal modelling presents the rationale of causality, i.e. the notion that guides causal reasoning in causal modelling. It is argued that causal models are regimented by a rationale of variation, nor of regularity neither invariance, thus breaking down the dominant Human p
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