Causality

Four-Volume Set Auflage
ISBN: 978-1-84787-933-2
Verlag: Sage Publications

Buch, Englisch, 1704 Seiten, Format (B × H): 170 mm x 123 mm, Gewicht: 3260 g

Reihe: SAGE Benchmarks in Social Research Methods

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.

Autoren/Hrsg.

Turner, Stephen P

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

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 Causal Inference: Comment: Statistics and metaphysics - Clark Glymour
Statistics and Causal Inference: Comment - Clive Granger
Statistics and Causal Inference: Rejoinder - Paul W. Holland
Causal Inference, Path Analysis, and Recursive Structural Equations Models - Paul W. Holland
Dangers of Cigarette Smoking - Ronald A. Fisher
Cigarettes, Cancer, and Statistics - Ronald A. Fisher
The Nature of Probability - Ronald A. Fisher
Lung Cancer and Cigarettes - Ronald A. Fisher
Cancer and Smoking - Ronald A. Fisher
Inhaling - Ronald A. Fisher
Review - C.C. Spicer
Sample Selection Bias as a Specification Error - James J. Heckman
Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The case of manpower training - James J. Heckman and Joseph V. Hotz
Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The case of manpower training: Comment - Paul W. Holland
Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The case of manpower training: Comment - Robert Moffitt
Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: The case of manpower training: Rejoinder - James J. Heckman and Joseph V. Hotz
VOLUME 3
Graphs, Causality, and Structural Equation Models - Judea Pearl
Confounding and Collapsibility in Causal Inference - Sander Greenland, Judea Pearl and James M. Robins
Causal Diagrams for Empirical Research - Judea Pearl
Graphical Models for Causation, and the Identification Problem - David A. Freedman
Measures of Association for Cross Classifications - Leo A. Goodman and William H. Kruskal
Simple Models for the Analysis of Association in Cross-classifications Having Ordered Categories - Leo A. Goodman
The Multivariate Analysis of Qualitative Data: Interactions among multiple classifications - Leo A. Goodman
The Analysis of Cross-classified Data: Independence, quasi-independence, and interactions in contingency tables with or without missing entries - Leo A. Goodman
The Central Role of the Propensity Score i

Über Autor(innen)

Turner, Stephen P
Stephen Turner is Graduate Research Professor. His Ph.D. is from the University of Missouri. His dissertation, Sociological Explanation as Translation, was published in 1980 by Cambridge. 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 is the co-author of the standard one-volume history of American Sociology, The Impossible Science. 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 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, especially related to the problem of tacit knowledge and mirror neurons. He is also engaged in a large project on the realism of Hans Kelsen and Max Weber and its relevance for contemporary discussions of political theory and law. His most recent book, Explaining the Normative (Polity 2010) is a critique and an alternative to the accounts of “normativity” one finds in philosophers like McDowell, Brandom, Korsgaard, Nagel, and the like. Among his other recent edited books are The SAGE Handbook of Social Science Methodology, with William Outhwaite, and The Routledge International Handbook of Contemporary Social and Political Theory, with Gerard Delanty. He has had fellowships from the National Endowment for the Humanities and the Swedish Collegium for Advanced Studies in the Social Sciences.