Determinants of linear judgment: a meta-analysis of lens studies.

Details

Serval ID
serval:BIB_9D211FE76954
Type
Article: article from journal or magazin.
Collection
Publications
Title
Determinants of linear judgment: a meta-analysis of lens studies.
Journal
Psychological Bulletin
Author(s)
Karelaia  N., Hogarth  R. M.
Publication state
Published
Issued date
2008
Notes
Data available at: http://www.hec.unil.ch/karelaia/ --- Old year value: forthcoming, 2008
Abstract
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 249 different task environments obtained from 86 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. We further identify and estimate the effects of task characteristics that influence judgment (numbers and types of cues, inter-cue redundancy, function forms and cue weights in the ecology, laboratory versus field studies, and experience with the task). A detailed analysis of learning studies reveals that the most effective form of feedback is information about the task. We also analyze empirically when the application of bootstrapping - or replacing judges by their linear models - is advantageous. We conclude by indicating shortcomings of the kinds of studies conducted to date, limitations in the lens model methodology, and possibilities for future research.
Create date
04/01/2008 19:57
Last modification date
20/08/2019 15:03
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