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. 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)
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Measuring Variations
Produktdetaljer
ISBN
9781402088179
Publisert
2020
Utgiver
Vendor
Springer
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter