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Quantifying Heuristic Bias: Anchoring, Availability, and Representativeness.

Megan Richie1, S Andrew Josephson1

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Summary
This summary is machine-generated.

A new instrument effectively quantifies heuristic bias in decision-making. It demonstrated that bias from availability and representativeness heuristics decreases with higher medical training levels.

Keywords:
cognitive biaseducational assessmentheuristicsmedical decision-makingmedical education

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Area of Science:

  • Cognitive Psychology
  • Medical Education
  • Decision Science

Background:

  • Heuristics, cognitive shortcuts, can lead to bias and errors in judgment.
  • A lack of standardized tools to quantify heuristic bias hinders research into educational interventions for medical decision-making.
  • This study validates a new vignette-based instrument for measuring bias from anchoring, availability, and representativeness heuristics.

Purpose of the Study:

  • To develop and validate a novel instrument for isolating and quantifying heuristic bias.
  • To assess the instrument's ability to measure bias in both medical and non-medical contexts.
  • To explore how heuristic bias varies across different training levels in medical professionals.

Main Methods:

  • Participants judged probabilities in vignette-based scenarios presented in two versions: one designed to elicit heuristic bias (Version A) and a neutral version (Version B).
  • The primary outcome measured was the difference in probability judgments between Version A and Version B scenarios.
  • Statistical analyses were performed to compare probability assignments and identify significant differences across heuristics and training levels.

Main Results:

  • Participants assigned significantly higher probabilities to Version A scenarios compared to Version B (p = .001).
  • This effect was significant for medical scenarios overall (p = .02) and specifically for availability (p = .003) and representativeness heuristics (p = .02).
  • Heuristic bias was significantly reduced in students and residents compared to attendings for the availability heuristic.

Conclusions:

  • A new vignette-based instrument effectively quantifies bias from the availability and representativeness heuristics.
  • The instrument's utility is demonstrated by showing a reduction in heuristic bias in medical contexts with increasing levels of training.
  • This tool can facilitate future research on improving clinical decision-making calibration.