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Combining Behavioral Endocrinology and Experimental Economics: Testosterone and Social Decision Making
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Published on: March 2, 2011

Scientific workflow in experimental economics.

Anna Dreber1, Séverine Toussaert2

  • 1Stockholm School of Economics , Stockholm, Sweden.

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|May 28, 2026
PubMed
Summary

Researchers explored common workflows for lab and online experiments in economics. They identified missing steps that can harm the credibility and generalizability of economic research findings.

Keywords:
experimental economicslab experimentsonline experimentspilotsscientific workflow

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Area of Science:

  • Economics
  • Social Sciences
  • Experimental Research

Background:

  • Lab and online experiments are crucial tools in economics and social sciences.
  • These experiments typically test treatment effects or elicit economic preferences.
  • Pre-registration of designs and analyses is gaining attention in research workflows.

Purpose of the Study:

  • To outline the common workflow for lab and online experiments in economics.
  • To identify critical, often 'missing' steps in the experimental research process.
  • To discuss how these omissions impact the replicability, credibility, and generalizability of findings.

Main Methods:

  • The study outlines a conceptual model of the experimental research workflow.
  • It highlights specific stages frequently omitted from published research.
  • Discussion focuses on the implications of these omissions for scientific rigor.

Main Results:

  • Several key steps in the experimental process are often not communicated in published research.
  • These omissions can lead to a lack of transparency in the research process.
  • The study identifies potential negative impacts on the reliability and validity of experimental results.

Conclusions:

  • Addressing 'missing' workflow steps is essential for improving the scientific rigor of economic experiments.
  • Enhancing transparency in experimental research workflows can bolster credibility and replicability.
  • Greater attention to the complete research process is needed for robust social science findings.