Abstract
Despite our intuition that representative expert judgments are highly nonlinear, previous studies have shown only little, if any, nonlinearity in such judgments. The current study presents a method for assessing nonlinearity in judgment that is based on estimating communal nonlinearity - the systematic nonlinearity shared by the community of judges. The article also examines the predictive accuracy of communal nonlinearity, and compares it with the corresponding linear accuracy.
| Original language | English |
|---|---|
| Pages (from-to) | 403-407 |
| Number of pages | 5 |
| Journal | Psychological Science |
| Volume | 12 |
| Issue number | 5 |
| DOIs | |
| State | Published - Sep 2001 |
Fingerprint
Dive into the research topics of 'Nonlinear models of clinical judgment: Communal Nonlinearity and Nonlinear Accuracy'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver