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On the Ramifications of Theory Choice in Causal Assessment: Indicators of Causation and Their Conceptual Relationships

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
Creators:
CreatorsEmailORCID
Poellinger, RolandRoland.Poellinger@outlook.com0000-0002-0487-4034
Keywords: epistemology and metaphysics of causation, theories of causation, causal inference
Subjects: General Issues > Causation
General Issues > Explanation
Specific Sciences > Probability/Statistics
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
Date: September 2017
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/23021

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