Causal explanation improves judgment under uncertainty, but rarely in a Bayesian way
Three studies reexamined the claim that clarifying the causal origin of key statistics can increase normative performance on Bayesian problems involving judgment under uncertainty. Experiments 1 and 2 found that causal explanation did not increase the rate of normative solutions. However, certain ty...
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Veröffentlicht in: | Memory & cognition 2018, Vol.46 (1), p.112-131 |
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Format: | Artikel |
Sprache: | eng |
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