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Table 6 Potential errors, effects, and bias in simulation-based summative assessment [109, 110]

From: Simulation-based summative assessment in healthcare: an overview of key principles for practice

Type of error

Error description

Error of homogenization

Tendency to rate neither too good or too bad, making discrimination more difficult

Halo effect

Tendency to see everything right or wrong in the same performance

Time effect

Bias related to observations of early or late good or bad performance during sessions

Bias of “clemency”

Willingness not to give bad grades

Repository error

Judgment based on what the rater would have done and not on the assessment tool

Group effect

Evaluation based on the team’s performance rather than the participant’s performance