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When "bad" is good: How evaluative judgments eliminate the standard anchoring effect
Oliver Schweickart1, Cory Tam1, Norman R Brown1
1Department of Psychology, University of Alberta.
This study explored judgmental anchoring, finding that people can control numerical information processing. When individuals assessed anchors as poor estimates, the anchoring effect was eliminated, challenging automatic bias theories.
Area of Science:
- Cognitive Psychology
- Judgment and Decision Making
Background:
- Judgmental anchoring is traditionally attributed to insufficient adjustment or automatic priming processes.
- Recent theories emphasize automatic, priming-based mechanisms underlying the anchoring effect.
Purpose of the Study:
- To investigate the extent to which anchoring is driven by automatic versus deliberate processes.
- To introduce a novel anchor assessment manipulation and a decompositional analysis of the standard anchoring effect.
Main Methods:
- Participants provided a target estimate after indicating the relationship between the target and anchor, or the anchor's quality as an estimate.
- A decompositional analysis was used to analyze the standard anchoring effect.
Main Results:
- Contrary to priming-based predictions, participants' estimates were consistent with their prior assessment of the anchor.
- Anchoring was eliminated when participants deemed the anchor a bad target estimate.
Conclusions:
- Findings challenge the view of anchoring as an inevitable bias.
- Individuals possess significant control over managing numerical information in uncertain judgments.
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