Perspectives on Probability Judgment Calibration
By Dale W. Griffin, Lyle A. Brenner. 2008
119 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, General Decision Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/9ec8296910b74c402fbdf75198a26fea541ced41
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
In General Decision Sciences
- Timo Mäntylä
- F. Del Missier
- W. Bruine de Bruin
- Paul Goodwin
- Jerome R. Busemeyer
- Timothy J. Pleskac
- D. Onkal
- Stephen M. Fleming
In Management Science and Operations Research
- Paul Goodwin
- Marcus O'Connor
- Michael Lawrence
- Jerome R. Busemeyer
- Timothy J. Pleskac
- F. Del Missier
- D. Onkal
- W. Bruine de Bruin
Citations in the corpus
- Decision-making Competence, Executive Functioning, and General Cognitive Abilities (2012, background): “However, most individuals tend to be overconfident (for a review, see Griffin & Brenner, 2004).”
- Overconfidence in Psychology and Finance - An Interdisciplinary Literature Review (2008, unknown): “Brenner and Griffin (2004) propose their own structure in calibration research, with the main areas being optimistic overconfidence (building on the self-serving bias, the better-than-average effect, unrealistic optimism and illusion of control), confirmatory bias (seeking evidence which confirms…”
- Two-stage dynamic signal detection: a theory of choice, decision time, and confidence. (2010, background): “An important and well-studied aspect of subjective probabilities is their accuracy (see Arkes, 2001; Griffin & Brenner, 2004; Koehler, Brenner, & Griffin, 2002; McClelland & Bolger, 1994).”
- Judgmental forecasting: A review of progress over the last 25 years (2006, background): “…providers’ overconfidence can be thought of as expressing doverpredictionT (consistent preference to assign probabilities that are too high), or doverextremityT (tendency to assess probabilities that are consistently very close to 0 or 1.0), with different implications (Griffin & Brenner, 2004).”