Authors | |
Abstract |
One way social scientists explain phenomena is by building structural models. These models are explanatory insofar as they manage to perform a recursive decomposition on an initial multivariate probability distribution, which can be interpreted as a mechanism. Explanations in social sciences share important aspects that have been highlighted in the mechanisms literature. Notably, spelling out the functioning the mechanism gives it explanatory power. Thus social scientists should choose the variables to include in the model on the basis of their function in the mechanism. This paper examines the notion of ‘function’ within structural modelling. We argue that ‘functions’ ought to be understood as the theoretical underpinnings of the causes, namely as the role that causes play in the functioning of the mechanism
|
Keywords | Causality Explanation Function Mechanism Recursive decomposition Structural modelling |
Categories | (categorize this paper) |
ISBN(s) | |
DOI | 10.1007/s10838-014-9242-z |
Options |
![]() ![]() ![]() ![]() |
Download options
References found in this work BETA
Making Things Happen: A Theory of Causal Explanation.James Woodward - 2003 - Oxford University Press.
Explaining the Brain: Mechanisms and the Mosaic Unity of Neuroscience.Carl F. Craver - 2007 - Oxford University Press, Clarendon Press.
Thinking About Mechanisms.Peter Machamer, Lindley Darden & Carl F. Craver - 2000 - Philosophy of Science 67 (1):1-25.
Making Things Happen. A Theory of Causal Explanation.Michael Strevens - 2007 - Philosophy and Phenomenological Research 74 (1):233-249.
View all 35 references / Add more references
Citations of this work BETA
No citations found.
Similar books and articles
Correlational Data, Causal Hypotheses, and Validity.Federica Russo - 2011 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 42 (1):85 - 107.
Causality, Structural Modelling, and Exogeneity.Michael Mouchart, Frederica Russo & Guillaume Wunsch - unknown
Models for Prediction, Explanation and Control: Recursive Bayesian Networks.Jon Williamson - 2011 - Theoria: Revista de Teoría, Historia y Fundamentos de la Ciencia 26 (1):5-33.
Symposium on Explanations and Social Ontology 3: Can We Dispense with Structural Explanations of Social Facts?Erik Weber & Jeroen Van Bouwel - 2002 - Economics and Philosophy 18 (2):259-275.
Structural Modelling, Exogeneity, and Causality.Federica Russo, Michel Mouchart & Guillaume Wunsch - 2009 - In Causal Analysis in Population Studies. pp. 59-82.
Mechanisms in the Analysis of Social Macro-Phenomena.Renate Mayntz - 2004 - Philosophy of the Social Sciences 34 (2):237-259.
Using Path Diagrams as a Structural Equation Modelling Tool.Peter Spirtes, Thomas Richardson, Chris Meek & Richard Scheines - unknown
How Many Mechanisms Are Needed to Analyze Speech? A Connectionist Simulation of Structural Rule Learning in Artificial Language Acquisition.Aarre Laakso & Paco Calvo - 2011 - Cognitive Science 35 (7):1243-1281.
Explanations in Search of Observations.Robert Sugden - 2011 - Biology and Philosophy 26 (5):717-736.
Recursive Bayesian Nets for Prediction, Explanation and Control in Cancer Science.Jon Williamson - unknown
How Does It Work?: The Search for Explanatory Mechanisms.Mario Bunge - 2004 - Philosophy of the Social Sciences 34 (2):182-210.
Analytics
Added to PP index
2014-02-16
Total views
30 ( #345,448 of 2,411,686 )
Recent downloads (6 months)
3 ( #244,611 of 2,411,686 )
2014-02-16
Total views
30 ( #345,448 of 2,411,686 )
Recent downloads (6 months)
3 ( #244,611 of 2,411,686 )
How can I increase my downloads?
Downloads