Read more
Informationen zum Autor Stephen Turner is Professor of Philosophy at the University of South Florida. He is the author of a number of books in the history and philosophy of social science and statistics, including books on Max Weber, on whom he also edited the Cambridge Companion volume. He has also written extensively in science studies, especially on patronage and the politics and economics of science, and on the concept of practices, including two books, The Social Theory of Practices and Brains/Practices/ Relativism. His most recent authored book, Liberal Democracy 3.0: Civil Society in an Age of Experts, reflects his interest in the problem the political significance of science. Among his other current interests are problems of explaining normativity, especially the conflict between philosophical and social scientific accounts, and issues relating to the implications of cognitive neuroscience for social theory. He has had fellowships from the National Endowment for the Humanities and the Swedish Collegium for Advanced Studies in the Social Sciences. Klappentext Causality is a core problem in social science methodology, as the laws of causality found in physics - which state generalizations without exceptions - are not found in the social sciences. As a consequence, classical definitions of the causal relation, such as John Stuart Mill's definition in terms of invariant succession, need either to be modified and qualified, or replaced by a different concept of causality entirely. This has led to a long and complex literature on the problems of causality. This four volume major reference work, Causality, covers the main issues, methods of analysis, and alternatives, of causality, including the classic texts applying these alternative concepts and methods to empirical cases. The volumes give a substantial historical and philosophical introduction relevant to the concerns of practitioners. As a whole, the volumes represent a complete guide to the literature on social science causality from the beginning to the present.t.This valuable work brings together the classic sources and the most advanced contemporary examples of causal analysis and methodological discussion. Inhaltsverzeichnis VOLUME 1 On the Study of Causes - L.A. Quetelet Quetelet on Probabilities - John F.W. Herschel Causation - John Venn Mariage - Jacques Bertillon The Scientific Law - Karl Pearson Cause and Effect-Probability - Karl Pearson Contingency and Correlation-the Insufficiency of Causation - Karl Pearson On the Correlation of Total Pauperism with Proportion of Out-Relief - G. Udny Yule An Investigation into the Causes in Pauperism in England, Chiefly During the Last Two Intercensal Decades - G. Udny Yule Partial Association - G. Udny Yule VOLUME 2 The Generalizing Theories: Adequate cause - H.L.A. Hart and Tony Honoré Concerning Cause and the Law of Torts - Guido Calabresi Causation in Tort Law - Richard W. Wright Causal Ordering and Identifiability - Herbert A. Simon Spurious Correlation: A causal interpretation - Herbert A. Simon Correlation and Causality: The multivariate case - H.M. Blalock, Jr. The Introduction of Additional Variables and the Problem of Spuriousness - Herbert Hyman The Introduction of Additional Variables and the Elaboration of Analysis - Herbert Hyman The Environment and Disease: Association or causation? - Austin Bradford Hill Investigating Causal Relations by Econometric Models and Cross-spectral Models - C.W.J. Granger Spurious Regressions in Econometrics - C.W.J. Granger and P. Newbold Testing for Causality: A personal viewpoint - C.W.J. Granger Statistics and Causal Inference - Paul W. Holland Statistics and Causal Inference: Comment: Which ifs have causal answers? - Donald B. Rubin Statistics and Causal Inference: Comment - D.R. Cox Statistics and Ca...
