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1Computer Science, Northwestern University, Evanston, IL, USA jhullman@northwestern.edu.
Integrative experiments enhance behavioral science but yield conditional results. Addressing the "crud factor" requires an interpretability theory to maintain explainability.
Area of Science:
- Behavioral Science
- Integrative Experimentation
- Scientific Methodology
Background:
- Current empirical behavioral science faces limitations.
- Integrative experimentation offers a path for improvement.
- Existing methods produce results contingent on underlying assumptions.
Purpose of the Study:
- To evaluate the potential of integrative experimentation in behavioral science.
- To identify challenges in interpreting results from integrative experiments.
- To explore the relationship between addressing the 'crud factor' and maintaining explainability.
Main Methods:
- Review of current practices in empirical behavioral science.
- Analysis of the conditional nature of results from integrative experiments.
- Theoretical examination of interpretability and explainability.
Main Results:
- Integrative experimentation promises advancements over the status quo.
- Experimental outcomes are inherently dependent on stated assumptions.
- The viability of addressing the 'crud factor' without compromising explainability is uncertain.
Conclusions:
- While integrative experimentation is beneficial, its findings are assumption-dependent.
- A robust theory of interpretability is crucial for understanding and applying experimental results.
- Further research is needed to reconcile the 'crud factor' with scientific explainability.
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