The statistical procedure that accounts for error inherent when sampling data from a population by assigning less weight in a meta-analysis to studies with greater error variance and more heavily weighting those with less error variance is known as the

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The weighted least squares method is specifically designed to account for error variance in meta-analyses by assigning greater weight to studies with less error variance and less weight to those with greater error variance. This helps to reduce the impact of unreliable or inconsistent data on the overall results of the analysis. The other options (A, B, D) do not specifically address this issue in the context of meta-analyses.

The Statistical Procedure That Accounts for Error Inherent When Sampling