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Theory Before the Test: How to Build High-Verisimilitude Explanatory Theories in Psychological Science
Iris van Rooij1, Giosuè Baggio2
1Donders Institute for Brain, Cognition and Behaviour, Radboud University.
Psychological science can better understand psychological capacities by focusing on theoretical analysis, not just observable effects. This approach, using Marr's framework, enhances theoretical plausibility before empirical testing.
Area of Science:
- Philosophy of Psychology
- Cognitive Science
- Theoretical Psychology
Background:
- Psychological science often focuses on observable effects, potentially overlooking underlying psychological capacities.
- Marr's levels-of-analysis framework has proven valuable for cognitive psychology.
Purpose of the Study:
- To propose a framework for understanding psychological capacities beyond observable effects.
- To extend Marr's levels-of-analysis framework to broader areas of psychology.
- To introduce the concept of the 'theoretical cycle' for theory development.
Main Methods:
- Philosophical analysis of psychological explanation.
- Revisiting and extending Marr's levels-of-analysis framework.
- Conceptualizing the 'theoretical cycle' in scientific theorizing.
Main Results:
- Psychological capacities, not just effects, are primary targets for explanation.
- Marr's framework can be extended to social, developmental, and evolutionary psychology.
- Theoretical analysis can establish minimal plausibility for theories prior to empirical validation.
Conclusions:
- A focus on capacities and the theoretical cycle can advance psychological science.
- Integrating Marr's framework across psychological subfields offers new benefits.
- Leveraging observable effects to understand deeper capacities is crucial for scientific progress.
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