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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Causality and Causal Modelling in the Social Sciences: Measuring Variations

Causality and Causal Modelling in the Social Sciences: Measuring Variations

Russo, Federica

Paperback

Series: Methodos, Book 5

EconomicsGeneral Sociology

ISBN10: 9048179963
ISBN13: 9789048179961
Publisher: Springer
Published: Nov 18 2010
Pages: 236
Weight: 0.79
Height: 0.53 Width: 6.14 Depth: 9.21
Language: English

The anti-causal prophecies of last century have been disproved. Causality is neither a 'relic of a bygone' nor 'another fetish of modern science'; 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, nor of regularity neither invariance, thus breaking down the dominant Human paradigm. The notion of variation is shown to be embedded in the scheme of reasoning behind various causal models: e.g. Rubin's model, contingency tables, and multilevel analysis. It is also shown to be latent - yet fundamental - in 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.

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