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A critical reflection on computing the sampling variance of the partial correlation coefficient.

Robbie C M van Aert1, Cas Goos1

  • 1Department of Methodology and Statistics, Tilburg University, Tilburg, The Netherlands.

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Summary
This summary is machine-generated.

Synthesizing partial correlation coefficients in meta-analysis requires accurate sampling variance estimation. This study critically evaluates two common estimators, offering guidance for researchers and demonstrating their application in a self-confidence and sports performance meta-analysis.

Keywords:
meta-analysispartial correlation coefficientsampling variancestandard error

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Area of Science:

  • Psychology
  • Statistics
  • Sports Science

Background:

  • Partial correlation coefficients are vital for understanding relationships between variables while controlling for others.
  • Meta-analysis of partial correlation coefficients is common, but estimating their sampling variance is complex.
  • Two widely used, yet differing, estimators for sampling variance exist in the literature.

Conclusions:

  • Accurate estimation of sampling variance is crucial for reliable meta-analysis of partial correlation coefficients.
  • Researchers should carefully consider the properties of different estimators before application.
  • This work clarifies best practices for synthesizing partial correlation coefficients in meta-analytic research.