Poellinger, Roland (2017) On the Ramifications of Theory Choice in Causal Assessment: Indicators of Causation and Their Conceptual Relationships. [Preprint]
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Abstract
Causal reasoning can be seen as the backbone of science in aiming at the attainment of stable, transferable, and replicable knowledge. In the empirical sciences, gathering data helps the researcher in forming an opinion about the investigated causal hypothesis. What makes collected data evidence for or against such a hypothesis is its interpretation in light of the indicative traces the hypothetical causal association entails. In this paper, I will first collect the pivotal causal indicators. I will then revisit the literature on causation and put on different hats in reassessing how theory choice influences the relationships amongst this set of indicators. I will finally argue that, for the precise formulations proposed, utilizing all four indicators (i) presents a resolution to seemingly conflicting perspectives in the causal literature, and (ii) paves the way towards an enriched picture of scientific instruction, prediction, and explanation across the conceptual fences of different causal theories.
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Item Type: | Preprint | ||||||
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Keywords: | epistemology and metaphysics of causation, theories of causation, causal inference | ||||||
Subjects: | General Issues > Causation General Issues > Explanation Specific Sciences > Probability/Statistics |
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Depositing User: | Dr. Roland Poellinger | ||||||
Date Deposited: | 28 Jan 2024 11:10 | ||||||
Last Modified: | 28 Jan 2024 11:10 | ||||||
Item ID: | 23021 | ||||||
Subjects: | General Issues > Causation General Issues > Explanation Specific Sciences > Probability/Statistics |
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Date: | September 2017 | ||||||
URI: | https://philsci-archive.pitt.edu/id/eprint/23021 |
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