Judgment and Decision Making: Neo-Brunswikian and Process-Tracing Approaches

By Peter Juslin; Henry Montgomery | Go to book overview
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Juslin, 1993b). Later research has made clear that even unbiased random error will introduce overconfidence (e.g., Erev et al., 1994), and representative selection of items will thus eliminate overconfidence completely only when random error is zero or marginal.
It is important to distinguish this sample-size parameter from the parameter with the same name in the combined error model. Sample size in the combined error model refers to the size of the retrieved sample of facts used to make decisions and to assess the probability, whereas the sample size in the sensory sampling model is the size of the memory that holds the transient sensory input used for decisions and confidence.


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