The mathematical representation of Brunswik s lens model has been used
extensively to study human judgment and provides a unique opportunity to conduct a
meta-analysis of studies that covers roughly five decades. Specifically, we analyze
statistics of the lens model equation (Tucker, 1964) associated with 259 different task
environments obtained from 78 papers. In short, we find on average fairly high levels
of judgmental achievement and note that people can achieve similar levels of cognitive
performance ...
The mathematical representation of Brunswik s lens model has been used
extensively to study human judgment and provides a unique opportunity to conduct a
meta-analysis of studies that covers roughly five decades. Specifically, we analyze
statistics of the lens model equation (Tucker, 1964) associated with 259 different task
environments obtained from 78 papers. In short, we find on average fairly high levels
of judgmental achievement and note that people can achieve similar levels of cognitive
performance in both noisy and predictable environments. Although overall performance
varies little between laboratory and field studies, both differ in terms of components of
performance and types of environments (numbers of cues and redundancy). An analysis
of learning studies reveals that the most effective form of feedback is information about
the task. We also analyze empirically when bootstrapping is more likely to occur. We
conclude by indicating shortcomings of the kinds of studies conducted to date, limitations
in the lens model methodology, and possibilities for future research.
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