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Related Experiment Video

Updated: Dec 30, 2025

Novel Object Exploration as a Potential Assay for Higher Order Repetitive Behaviors in Mice

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Published on: August 20, 2016

The "Reproducibility Crisis:" Might the Methods Used Frequently in Behavior-Analysis Research Help?

Marc N Branch¹

¹Psychology Department, University of Florida, Gainesville, FL 32611 USA.

Perspectives on Behavior Science

|January 25, 2020

Summary

The scientific reproducibility crisis, with ~50% of studies failing replication, stems from over-reliance on p-values for publication. Embracing methods like those in Behavior Analysis, which emphasize replication, can improve scientific reliability.

Keywords:

Individual-case designs P-values Replication Statistical significance

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Last Updated: Dec 30, 2025

Novel Object Exploration as a Potential Assay for Higher Order Repetitive Behaviors in Mice

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Area of Science:

Biomedical and behavioral sciences
Scientific research methodology

Background:

The scientific community faces a significant reproducibility crisis, characterized by approximately 50% of research failing to replicate.
This crisis erodes public trust in science and highlights fundamental issues in current research practices.

Purpose of the Study:

To identify the primary cause of the reproducibility crisis.
To propose alternative research methodologies that enhance the reliability of scientific findings.

Main Methods:

Critical analysis of the role of p-values in scientific publication.
Examination of research traditions, such as Behavior Analysis, that prioritize within- and between-participant replication.

Main Results:

The widespread use of p-values as a publication criterion is identified as the main driver of the reproducibility crisis.
P-values do not provide quantitative information regarding the repeatability of experimental results.

Conclusions:

Shifting away from p-value-centric publication is crucial for addressing the reproducibility crisis.
Adopting research designs that integrate replication, as practiced in Behavior Analysis, can bolster scientific validity and public confidence.