Causation, Evidence, and Inference - Rilegato

Reiss, Julian

Rilegato

ISBN 10: 0415394228 ISBN 13: 9780415394222

Casa editrice: Routledge, 2015

Riassunto

In this book, Reiss argues in favor of a tight fit between evidence, concept and purpose in our causal investigations in the sciences. There is no doubt that the sciences employ a vast array of techniques to address causal questions such as controlled experiments, randomized trials, statistical and econometric tools, causal modeling and thought experiments. But how do these different methods relate to each other and to the causal inquiry at hand? Reiss argues that there is no "gold standard" in settling causal issues against which other methods can be measured. Rather, the various methods of inference tend to be good only relative to certain interpretations of the word "cause", and each interpretation, in turn, helps to address some salient purpose (prediction, explanation or policy analysis) but not others. The main objective of this book is to explore the metaphysical and methodological consequences of this view in the context of numerous cases studies from the natural and social sciences.

Su questo libro

Informazioni sull'autore

Julian Reiss (PhD 2002, LSE) is Professor of Philosophy at Durham University and Co-Director of the Centre for Humanities Engaging Science and Society (CHESS). His main research interests are methodologies of the sciences (especially causality and causal inference, models, simulations and thought experiments, and counterfactuals), philosophy of economics, and science and values.

Dettagli dell'edizione

• Editore: Routledge
• Data di pubblicazione: 2015
• Lingua: Inglese
• ISBN 10: 0415394228
• ISBN 13: 9780415394222
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 268
• Contatto del produttore: Taylor and Francis, GPSR Taylor and Francis; gpsr@taylorandfrancis.com; ; Taylor & Francis Verlag GmbH, Kaufingerstraße 24; München; 80331; Germania