5 found
Order:
  1.  66
    Causal effects and counterfactual conditionals: contrasting Rubin, Lewis and Pearl.Keith A. Markus - 2021 - Economics and Philosophy 37 (3):441-461.
    Rubin and Pearl offered approaches to causal effect estimation and Lewis and Pearl offered theories of counterfactual conditionals. Arguments offered by Pearl and his collaborators support a weak form of equivalence such that notation from the rival theory can be re-purposed to express Pearl’s theory in a way that is equivalent to Pearl’s theory expressed in its native notation. Nonetheless, the many fundamental differences between the theories rule out any stronger form of equivalence. A renewed emphasis on comparative research can (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   2 citations  
  2.  53
    An incremental approach to causal inference in the behavioral sciences.Keith A. Markus - 2014 - Synthese 191 (10):2089-2113.
    Causal inference plays a central role in behavioral science. Historically, behavioral science methodologies have typically sought to infer a single causal relation. Each of the major approaches to causal inference in the behavioral sciences follows this pattern. Nonetheless, such approaches sometimes differ in the causal relation that they infer. Incremental causal inference offers an alternative to this conceptualization of causal inference that divides the inference into a series of incremental steps. Different steps infer different causal relations. Incremental causal inference is (...)
    Direct download (2 more)  
     
    Export citation  
     
    Bookmark   1 citation  
  3.  31
    Philosophical methodology and axiomatic measurement theory: A comment on Uher (2021).Keith A. Markus - 2021 - Journal of Theoretical and Philosophical Psychology 41 (1):85-90.
    Direct download (3 more)  
     
    Export citation  
     
    Bookmark  
  4.  39
    Questions about networks, measurement, and causation.Keith A. Markus - 2010 - Behavioral and Brain Sciences 33 (2-3):164 - 165.
    Cramer et al. present a thoughtful application of network analysis to symptoms, but certain questions remain open. These questions involve the intended causal interpretation, the critique of latent variables, individual variation in causal networks, Borsboom's idea of networks as measurement models, and how well the data support the stability of the network results.
    Direct download (4 more)  
     
    Export citation  
     
    Bookmark  
  5. Real causes and ideal manipulations: Pearl's theory of causal inference from the point of view of psychological research methods.Keith A. Markus - 2011 - In Phyllis McKay Illari Federica Russo (ed.), Causality in the Sciences. Oxford University Press. pp. 240--269.
     
    Export citation  
     
    Bookmark   1 citation