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Synapse
September 12, 2025Open Access

Using simulations to explore sampling distributions: an antidote to hasty and extravagant inferences

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Authors

GRGuillaume A. Rousselet

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Overview

This analysis explores sampling distributions through simulations, revealing potential false positives and variability in results.

Key Points

  • Simulations illustrate sampling distributions, revealing significant variability in single experiment results.
  • By demonstrating sampling distributions, this work shows how confidence in small samples may lead to false positives.
  • Frequentist statistics often overlook sampling distributions, creating hasty inferences based on limited data.
  • Using simulations can clarify the data generating process and challenge existing assumptions about effect sizes.

Cite This Study

Guillaume A. Rousselet (2025) studied this question.

synapsesocial.com/papers/68d44c3d31b076d99fa557eahttps://doi.org/10.31219/osf.io/f5q7r_v2
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