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The elephant's other legs: What some sciences actually do

Published online by Cambridge University Press:  05 February 2024

Jonathan Baron Open the ORCID record for Jonathan Baron [Opens in a new window]
Jonathan Baron*
Affiliation:
Department of Psychology, University of Pennsylvania, Philadelphia, PA, USA jonathanbaron7@gmail.com https://www.sas.upenn.edu/baron
*
*Corresponding author.
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Abstract

Integrative experiments, as described, seem blindly empirical, as if the question of generality of effects could not be understood through controlled one-at-a-time experiments. But current research using such experiments, especially applied research, can resolve issues and make progress through understanding of cause–effect pathways, leaving to engineers the task of translating this understanding into practice.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 47 , 2024 , e35
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Copyright
Copyright © The Author(s), 2024. Published by Cambridge University Press

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References

Baron, J. (1973). Semantic components and conceptual development. Cognition, 2, 189–207.CrossRefGoogle Scholar
Baron, J. (2010). Looking at individual subjects in research on judgment and decision making (or anything). Acta Psychologica Sinica, 42, 1–11.CrossRefGoogle Scholar
Baron, J., & Ritov, I. (1994). Reference points and omission bias. Organizational Behavior and Human Decision Processes, 59, 475–498.CrossRefGoogle Scholar
Beck, A. T. (Ed.). (1979). Cognitive therapy of depression. Guilford Press.Google Scholar
Breyer, S. (1993). Breaking the vicious circle: Toward effective risk regulation. Harvard University Press.Google Scholar
Dhami, M. K., Mandel, D. R., Mellers, B. A., & Tetlock, P. E. (2015). Improving intelligence analysis with decision science. Perspectives on Psychological Science, 10(6), 753–757.CrossRefGoogle ScholarPubMed
Garner, W. R. (1972). The acquisition and application of knowledge: A symbiotic relation. American Psychologist, 27(10), 941–946.CrossRefGoogle Scholar
Kahneman, D., & Frederick, S. (2002). Representativeness revisited: Attribute substitution in intuitive judgment. In Gilovich, T., Griffin, D., & Kahneman, D. (Eds.), Heuristics and biases: The psychology of intuitive judgment (pp. 49–81). Cambridge University Press.CrossRefGoogle Scholar
Kahneman, D., Ritov, I., Jacowitz, K. E., & Grant, P. (1993). Stated willingness to pay for public goods: A psychological perspective. Psychological Science, 4(5), 310–315.CrossRefGoogle Scholar
Slovic, P. (1987). Perception of risk. Science (New York, N.Y.), 236, 280–285.CrossRefGoogle ScholarPubMed
Thaler, R. H., & Sunstein, C. R. (2008). Nudge: Improving decisions about health, wealth, and happiness. Yale University Press.Google Scholar
Treiman, R. (1992). Beginning to spell: A study of first-grade children. Oxford University Press.Google Scholar
von Winterfeldt, D., & Edwards, W. (1986). Decision analysis and behavioral research. Cambridge University Press.Google Scholar