How Process Explanations Impact Assessments of Predictions of Uncertain Events

Consumers often have to assess the accuracy (or believability) of probability predictions made by forecasters. While prior literature suggests that offering support for claims increases believability, we show that, for probabilistic predictions, additional process support lowers accuracy perceptions because individuals infer that the prediction-making process was too superficial.


Daniel Villanova, Elise Chandon Ince, and Rajesh Bagchi (2017) ,"How Process Explanations Impact Assessments of Predictions of Uncertain Events", in NA - Advances in Consumer Research Volume 45, eds. Ayelet Gneezy, Vladas Griskevicius, and Patti Williams, Duluth, MN : Association for Consumer Research, Pages: 932-932.


Daniel Villanova, Virginia Tech, USA
Elise Chandon Ince, University of South Carolina, USA
Rajesh Bagchi, Virginia Tech, USA


NA - Advances in Consumer Research Volume 45 | 2017

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