People often rely on mental shortcuts, known as heuristics, to help them make judgments and decisions quickly and efficiently. While, generally, these heuristics lead to accurate judgments, in certain circumstances, heuristics can bias problem-solving and decision-making producing errors with serious consequences. What We Know About Heuristics and Biases introduces the literature on heuristics and provides an assessment tool designed to obviate these problems. Measuring six cognitive and social biases--confirmation bias, fundamental attribution error, the bias blind spot, anchoring bias, representativeness bias, and projection bias-this tool provides an innovate and cutting edge method for assessment professionals and researchers in measurement.
About the Author: Franklin Zaromb is Research Scientist in the Research and Development Division at Educational Testing Service.
Abigail Gertner is Principal AI Engineer, Data Analytics, at The MITRE Corporation.
Robert Schneider is President at Research & Assessment Solutions, Ltd.
Jeremy Burrus is Principal Research Scientist at ACT.
Rebecca Rhodes is a PhD Candidate at the University of Michigan.
Gerald Matthews is Associate Research Professor in the Institute for Simulation and Training at University of Central Florida.
Jonathon Kopecky is Cognitive Engineer at Johns Hopkins University Applied Physics Laboratory.
Richard Roberts is Vice President and Chief Scientist at Professional Examination Service in New York City, where he directs their Center for Innovative Assessments.