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Berkeley Initiative for
Transparency in the Social Sciences

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MOOC: Transparent and Open Social Science Research

  • Week 1: Introduction
  • Week 2: Publication Bias
  • Week 3: Pre-Registration, Pre-Analysis Plans, and Meta-Analysis
  • Week 4: Replication and Open Data
  • Week 5: Data Visualization

MOOC: Week 2

  • Is there a credibility crisis?
    • Why most published research findings are false
    • False-positive psychology
    • Do statistical reporting standards affect what is published?
    • “Time Series Minimum Wage Literature: A Meta-Analysis”
  • Detecting and Reducing Publication Bias
    • P-curve and false positives
    • P-Curve: A tool for detecting publication bias
    • Publication Bias in the Social Sciences”
    • Can the existence of a registry help us deal with hidden findings?

Detecting and Reducing Publication Bias

In this activity, we’ll introduce you to a couple ways researchers have detected and addressed publication bias and “unlocked” the file drawer problem. You’ll also get a chance to test out one of these tools on your own.

2.5 P-Curve: A tool for detecting publication bias

2.6 P-curve and false positives

2.9 “Publication Bias in the Social Sciences”

2.10 Can the existence of a registry help us deal with hidden findings?

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