Causation, Evidence, and Inference (Routledge Studies in the by Julian Reiss

By Julian Reiss

In this ebook, Reiss argues in desire of a good healthy among proof, inspiration and objective in our causal investigations within the sciences. there is not any doubt that the sciences hire an unlimited array of ideas to handle causal questions akin to managed experiments, randomized trials, statistical and econometric instruments, causal modeling and concept experiments. yet how do those assorted equipment relate to one another and to the causal inquiry to hand? Reiss argues that there's no "gold usual" in settling causal concerns opposed to which different equipment will be measured. really, a few of the tools of inference are typically sturdy purely relative to definite interpretations of the note "cause", and every interpretation, in flip, is helping to deal with a few salient function (prediction, clarification or coverage research) yet now not others. the most goal of this ebook is to discover the metaphysical and methodological outcomes of this view within the context of diverse instances reports from the average and social sciences.

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