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Exposing and overcoming the fixed-effect fallacy through crowd science.

Wilson Cyrus-Lai1, Warren Tierney2, Martin Schweinsberg3

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Crowdsourcing scientific research by having multiple independent teams address the same questions can solve the generalizability crisis. Analyzing results through aggregation or parsing helps understand varied findings.

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Area of Science:

  • Behavioral and Social Sciences
  • Psychology
  • Reproducibility in Science

Background:

  • The generalizability crisis in science refers to the difficulty in replicating research findings across different contexts.
  • Existing research often lacks diverse approaches, limiting the scope of conclusions.

Purpose of the Study:

  • To propose a crowdsourced approach to address the generalizability crisis in scientific research.
  • To outline methods for synthesizing findings from heterogeneous research studies.

Main Methods:

  • Organizing independent groups of scientists to investigate the same research questions.
  • Employing aggregation techniques, such as meta-analysis of effect sizes.
  • Utilizing parsing methods to identify moderators explaining result variability.

Main Results:

  • Crowdsourcing research can yield more robust and generalizable findings.
  • Aggregation and parsing are effective strategies for integrating diverse study outcomes.
  • Identifying moderators enhances the theoretical understanding of research variability.

Conclusions:

  • A crowdsourced, multi-pronged approach is a viable solution to the generalizability crisis.
  • Systematic analysis of heterogeneous results is key to advancing scientific knowledge.