Judging the accuracy of a likelihood judgment: the case of smoking risk

By Paul D. Windschitl. 2002

107 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, General Decision Sciences

View Paper: https://www.semanticscholar.org/paper/b8690c400513fe8e139f12391c88446675b22255

Citations in the corpus

• How numeracy influences risk comprehension and medical decision making. (2009, unknown): “For example, Windschitl (2002) found biasing effects of a context question on subsequent target judgments of cancer risk, but the bias was not less severe when frequency rather than probability representations were used.”