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Scientific studies show that variations in sample, design, and analysis (heterogeneity) can significantly lower the probability that a hypothesis is true, impacting research generalizability.

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Area of Science:

  • Social Sciences
  • Empirical Research Methods

Background:

  • Empirical studies involve choices in sample, research design, and analysis.
  • Variations in these choices create heterogeneity, increasing uncertainty and limiting generalizability of findings.

Purpose of the Study:

  • To provide a framework for studying heterogeneity in the social sciences.
  • To categorize heterogeneity into population, design, and analytical types.
  • To assess the impact of heterogeneity on the probability of a hypothesis being true.

Main Methods:

  • Framework developed for analyzing heterogeneity.
  • Estimation of population, design, and analytical heterogeneity.
  • Data sourced from 70 multilab replication studies, 11 prospective meta-analyses, and 5 multianalyst studies.

Main Results:

  • Population heterogeneity was relatively small.
  • Design and analytical heterogeneity were found to be large.
  • Accounting for heterogeneity suggests a lower probability of hypothesis truth than nominal error rates.

Conclusions:

  • Heterogeneity, particularly design and analytical, significantly affects research findings.
  • Results highlight the need to parse and account for heterogeneity in social science research.
  • Caution is advised due to limited data and uncertainty in heterogeneity estimates.