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Area of Science:

  • Statistics
  • Biostatistics
  • Psychometrics

Background:

  • Dependent correlation is a prevalent issue in meta-analysis.
  • Existing methods like simple within-sample mean procedures have limitations.
  • Samplewise-adjusted procedures offer improved performance but are underutilized.

Purpose of the Study:

  • To compare samplewise-adjusted procedures with existing methods for handling dependent effect sizes in meta-analysis.
  • To enhance the accessibility of samplewise-adjusted procedures for meta-analytic researchers.
  • To introduce practical tools for implementing these advanced procedures.

Main Methods:

  • Comparative analysis of statistical procedures for dependent effect sizes.
  • Development and presentation of samplewise-adjusted procedures.
  • Creation of an SPSS macro and an R script for practical application.

Main Results:

  • Samplewise-adjusted procedures demonstrate superior performance compared to traditional methods.
  • The provided SPSS macro and R script facilitate the application of these advanced techniques.
  • Enhanced accessibility of sophisticated meta-analytic methods for a broader research audience.

Conclusions:

  • Samplewise-adjusted procedures are recommended for meta-analyses with dependent effect sizes.
  • The developed tools significantly lower the barrier to entry for using these advanced methods.
  • Increased adoption of robust statistical practices in meta-analysis is anticipated.