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Sample size bias in retrospective estimates of average duration
Andrew R Smith1, Shanon Rule2, Paul C Price3
1Department of Psychology, Appalachian State University, United States.
Acta Psychologica
|March 29, 2017
Summary
People overestimate average event durations when more events are averaged. This study reveals a sample size bias in duration estimation, impacting how we perceive time across multiple experiences.
Area of Science:
- Cognitive Psychology
- Decision Making
- Human Perception
Background:
- Research extensively covers single event duration estimation.
- Limited research exists on estimating average duration across multiple events.
- Understanding average duration perception is crucial for daily judgments.
Purpose of the Study:
- To investigate how sample size influences average duration estimates.
- To examine the presence and nature of a sample size bias in duration perception.
- To explore the relationship between quantity and duration representations.
Main Methods:
- Conducted four studies with varying judgment types (numeric, comparative).
- Employed both between-subjects and within-subjects designs.
- Utilized diverse paradigms, including image observation and task performance.
Main Results:
- Demonstrated a significant sample size bias in average duration estimates.
- Judgments of average duration increased as the number of averaged stimuli grew.
- This bias was consistent across different experimental conditions.
Conclusions:
- The number of events averaged influences perceived average duration.
- Psychological representations of quantity can affect duration perception.
- Findings contribute to understanding magnitude estimation and cognitive biases.
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