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Related Experiment Video

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Author Spotlight: Simulation and Analysis of the Temperature Rise of Ring Main Unit Equipment
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Do Evaluations Rise With Experience?

Kieran O'Connor1, Amar Cheema1

  • 1McIntire School of Commerce, University of Virginia.

Psychological Science
|March 2, 2018
PubMed
Summary
This summary is machine-generated.

Evaluations become more positive when conducted later in a sequence, a bias impacting fairness in sequential decision-making. This occurs because repeated assessments lead to more fluent decision-making, resulting in increasingly favorable judgments.

Keywords:
experiencejudgment and decision makingopen data, open materialsprocessing fluencysequential evaluation

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Area of Science:

  • Decision Science
  • Social Psychology
  • Behavioral Economics

Background:

  • Sequential evaluation, where the same raters assess multiple items, is common in various fields.
  • Fairness in evaluation relies on consistent application of criteria.
  • Potential biases in sequential evaluation are not fully understood.

Purpose of the Study:

  • To investigate whether evaluations become more positive when conducted later in a sequence.
  • To identify the psychological mechanisms underlying this sequential evaluation bias.
  • To assess the broad implications of this bias in real-world decision-making.

Main Methods:

  • Analysis of real-world evaluation data (dance competitions, academic grading).
  • Experimental manipulation of evaluation order for short stories.
  • Mediation analysis to explore the role of decision-making fluency.

Main Results:

  • Ratings consistently increased across sequences in real-world examples.
  • Experimental evaluations of short stories became more positive over time.
  • Increased decision-making fluency mediated the effect, leading to more positive judgments.

Conclusions:

  • A sequential evaluation bias exists, where later evaluations are more positive.
  • This bias is linked to increased processing fluency from repeated evaluation.
  • The findings have significant implications for fairness in various evaluative contexts.