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  1. 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 & Jon Williamson (eds.), Causality in the Sciences. Oxford University Press. pp. 240--269.
     
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    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 (...)
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    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.
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