JOURNAL ARTICLE

Information sampling and Bayesian belief formation in statistical judgment.

  • Published In: Psychology & Psychiatry Journal, 2026. P. N.PAG 1 of 2

  • Database: Psychology Source 2 of 2

Abstract

The article focuses on research examining how decision makers process visual graphs, particularly scatterplots, and the systematic errors they make in statistical judgments. The study proposes that these individuals act as Bayesian learners, leading to biased sampling of information from graphs, which results in judgment errors. Four eye-tracking experiments involving 421 participants demonstrated various biases in correlation judgments, with a Bayesian belief updating model accurately predicting these judgments and biases. The findings offer insights into cognitive mechanisms of belief formation and highlight implications for data visualization and statistical communication. [Extracted from the article]

Additional Information

  • Source:Psychology & Psychiatry Journal. 2026/01, pN.PAG
  • Document Type:Article
  • Subject Area:History
  • Publication Date:2026
  • ISSN:1944-2718
  • Accession Number:191057727
  • Copyright Statement:Copyright of Psychology & Psychiatry Journal is the property of NewsRx and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.