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040			_cIZA
100			_aRusso, Frederica _94752
245			_aCausality and Causal Modelling in the Social Sciences: Maesuring Variations
260			_aBerlin et al., _bSpringer Science and Business Media, _c2010
300			_a235 pages
440			_aMethodos Series _94753
520			_aThe 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, 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. 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. 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)
653			_asocial sciences
653			_acausality
653			_acausal modelling
653			_acausal models
653			_amethodology
856			_uhttps://www.springer.com/gp/book/9781402088162 _yPublisher's website
942			_2ddc _cBO