Related Experiment Video
Updated: May 10, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
Published on: August 25, 2023
Decision-making bias in assessment: the effect of aggregating objective information and anecdote
Mike J Tweed1, Mark Thompson-Fawcett, Tim J Wilkinson
1University of Otago , New Zealand.
Introduction:
Assessment decisions increasingly rely on synthesis of information from a variety of sources. It is known that aggregation of information to make decisions is open to a number of biases. The aim of this research was to investigate bias, accuracy and confidence of assessment decision making.
Methods:
The participants were consultation skills assessors. A model for incremental information was developed with participants being shown results from purposefully selected, but authentic, data from the University's final summative 10-station Objective Structured Clinical Examination (OSCE). After each piece of information, participants gave a pass-fail decision and their confidence in that choice. Following the information from 10 OSCE stations the participants were given a discordant fictional anecdote and again participants gave a pass-fail decision and their confidence.
Results:
When there is overwhelming evidence to support a pass or fail, participants were not as confident as the data would support. Participants were less confident to make a fail decision than a pass. Despite considerable evidence from multiple results some participants altered decisions based on isolated contradictory information from an anecdote.
Discussion:
These findings are significant in understanding decision-making. Given equivalent levels of evidence, decision makers are less confident to fail than pass and less robust information can undermine more robust information.
Related Concept Videos
The Anchoring-and-Adjustment Heuristic
The Availability Heuristic
Confirmation Biases
Hindsight Biases
Motivational Bias
Bias
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
