Titlebook: Causality and Causal Modelling in the Social Sciences; Measuring Variations Federica Russo Book 2009 Springer Science+Business Media B.V. 2

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Methodos Serieshttp://image.papertrans.cn/c/image/222627.jpg

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Causality and Causal Modelling in the Social Sciences978-1-4020-8817-9Series ISSN 1572-7750 Series E-ISSN 2542-9892

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Bernd Eisenfeld,Peter Eisenfeld, multi level analysis, and contingency tables, by paying particular attention to the meaning of their assumptions and to their hypothetico-deductive methodology. An overview of the difficulties and weaknesses of causal models is also offered.

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Probabilistic Approaches,lighted, viz. statistical relevance and temporal priority of causes, and traditional criticisms discussed. Finally, it is argued that a mature theory of causality has to start afresh by investigating causal models, as they enable us to account for the mul tivariate aspect of causality in the social domain.

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Axel C. Schwickert,Thomas E. Theuringaims made in social contexts. Based on some paradigmatic case studies from the social sciences (e.g. demography, epidemiology, or econometrics), it is argued that social scientists (i) use statistical causality to detect causal relations, (ii) state causal claims in causal contexts, (iii) look for s

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