Causal inference using statistical models plays a central role in many areas of behavioral science, but the underlying metatheory of causal explanation remains poorly developed. Mulaik’s work on causation offers a useful foray into this topic. Evaluation of two negative arguments applied to a broad range of theories of causation offer overdue critical assessment of this contribution. More broadly, the critical evaluation of Mulaik’s arguments speak to the need for better integration of substantive theories and statistical models in causal research.
Quality & Quantity – Springer Journals
Published: Nov 18, 2010
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