Sladekova et al. 2023 (psychology)

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Sladekova et al. 2023 (psychology)

Reference: Sladekova et al. (2023).

Research question: how much do meta-analytic effect-size estimates change after applying publication-bias adjustment methods in psychology datasets?

Data availability: data and materials are available through OSF.

Data description and source: the authors reanalysed 433 meta-analytic datasets from 90 psychology papers. BEAR represents the imported meta-analytic datasets as row-level effect sizes, assuming one row per study.

Data processing: we use rows with available effect estimates and sampling variances. Effect sizes on the correlation scale are transformed to Fisher’s z scale, with standard errors derived from the reported variances. Signed z-values were computed as transformed effect sizes divided by their standard errors.

Model of z-values

The fitted mixture model is shown over the empirical distribution of absolute z-values. The solid line is a mixture of half-normals, with selection. The dashed line shows the distribution without selection. If there are inequalities (e.g. studies reporting p < 0.05) the histogram resamples values from the appropriate set.

Sladekova et al mixture model plot

References

Sladekova, Martina, Lois E A Webb, and Andy P Field. 2023. “Estimating the Change in Meta-Analytic Effect Size Estimates After the Application of Publication Bias Adjustment Methods.” Psychological Methods 28 (3): 664.