In Press

Trent N. Cash, Daniel M. Oppenheimer
Thinking & Reasoning, Advance Online Publication, 2024

DOI: 10.1080/13546783.2024.2426543

Cite

APA Click to copy
Cash, T. N., & Oppenheimer, D. M. (2024). Assessing Metacognitive Knowledge in Subjective Decisions: The Knowledge of Weights Paradigm. Thinking &Amp; Reasoning, Advance Online Publication. https://doi.org/10.1080/13546783.2024.2426543

Chicago/Turabian Click to copy
Cash, Trent N., and Daniel M. Oppenheimer. “Assessing Metacognitive Knowledge in Subjective Decisions: The Knowledge of Weights Paradigm.” Thinking & Reasoning Advance Online Publication (2024).

MLA Click to copy
Cash, Trent N., and Daniel M. Oppenheimer. “Assessing Metacognitive Knowledge in Subjective Decisions: The Knowledge of Weights Paradigm.” Thinking &Amp; Reasoning, vol. Advance Online Publication, 2024, doi:10.1080/13546783.2024.2426543.

BibTeX Click to copy

@article{trent2024a,
  title = {Assessing Metacognitive Knowledge in Subjective Decisions: The Knowledge of Weights Paradigm},
  year = {2024},
  journal = {Thinking & Reasoning},
  volume = {Advance Online Publication},
  doi = {10.1080/13546783.2024.2426543},
  author = {Cash, Trent N. and Oppenheimer, Daniel M.}
}

Abstract

Subjective, multi-attribute choice decisions – such as whom to marry or which college to attend – play a substantial role in decision makers’ long-term well-being. However, the metacognition literature lacks tools for assessing metacognitive capacities in subjective decisions. We present three studies in which we propose and validate the Knowledge of Weights (KoW) paradigm, a novel method for assessing metacognitive knowledge of attribute weights in subjective, multi-attribute choice decisions. In Study 1, we demonstrate the test-retest reliability of metrics generated by the KoW paradigm. In Study 2, we apply the KoW paradigm in four domains and show that it generates consistent results. In Study 3, we demonstrate that participants who perform better on the KoW paradigm make choices with which they are more satisfied, providing suggestive evidence of predictive validity. Use cases in cognitive psychology and beyond are discussed

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