The Weight of Advice in Decision-Making
Author Information
Author(s): Phoebe E. Bailey, Leon Tarren, Natalie C. Ebner, Ahmed A. Moustafa, Gabrielle Weidemann
Primary Institution: Graduate School of Health, University of Technology Sydney
Hypothesis
How do perceived quality and characteristics of advice influence the weight of advice in decision-making?
Conclusion
Individuals adjust their estimates significantly based on the perceived quality of advice, with a mean adjustment of 39% towards advised estimates.
Supporting Evidence
- Individuals adjusted estimates by 32%, 37%, and 48% in response to advisors described as providing low, neutral, or high quality advice, respectively.
- The findings suggest that perceived quality of advice is a significant predictor of advice-taking behavior.
- Sample characteristics such as age, gender, and individualism did not influence the weight of advice.
Takeaway
When people get advice, they often change their minds based on how good they think the advice is. If they think the advice is great, they change a lot; if they think it's bad, they don't change much.
Methodology
This study conducted a meta-analysis of 346 effect sizes from 129 independent datasets to assess the weight of advice in decision-making.
Potential Biases
Potential publication bias was detected, indicating that the findings may not fully represent the true effects.
Limitations
The study did not assess the process of advice-taking interactions and relied on existing datasets, which may not capture all relevant variables.
Participant Demographics
The sample included a diverse range of participants across various studies, with no significant effects found for age, gender, or individualism.
Statistical Information
P-Value
p<0.001
Confidence Interval
[0.37, 0.42]
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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