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Naturalistic Observations02:30

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Assessing computational reproducibility in Behavior Research Methods.

David A Ellis1, John Towse2, Olivia Brown3

  • 1School of Management, University of Bath, Bath, UK. dae30@bath.ac.uk.

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|September 25, 2024
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Summary
This summary is machine-generated.

Behavior Research Methods (BRM) journal policy changes improved the completeness and reusability of research assets, enhancing computational reproducibility and extending the lifespan of scientific products.

Keywords:
Meta-researchOpen scienceReproducibilityResearch policyTransparency

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Area of Science:

  • Psychological Science
  • Behavioral Research Methods
  • Computational Reproducibility

Background:

  • Psychological science advances through new methods and innovative practices.
  • Journals like Behavior Research Methods (BRM) disseminate research assets (data, software, code).
  • Research assets often lack computational reproducibility, hindering reuse.

Purpose of the Study:

  • To explore how BRM authors and structures influence functional research assets.
  • To assess the speed of method/technique reuse and development.
  • To determine if BRM policy changes improved functionality and reproducibility.

Main Methods:

  • Randomly sampled 204 BRM papers pre- and post-policy changes.
  • Researchers assessed asset operational status, completeness, and reusability.
  • Analyzed the impact of policy changes on reproducibility over time.

Main Results:

  • Improvements observed in all measures of asset functionality.
  • Significant increase in asset completeness (d = .37) post-policy change.
  • Data sets from surveys/experiments showed greatest gains in completeness and reusability.

Conclusions:

  • BRM policy changes positively impacted research asset completeness and reusability.
  • Policy changes appear to extend the lifespan of research products.
  • Future research and policy should further support computational reproducibility in science.