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Direct linkT. D. Stanley; Hristos Doucouliagos; Tomas Havranek – Research Synthesis Methods, 2024
We demonstrate that all meta-analyses of partial correlations are biased, and yet hundreds of meta-analyses of partial correlation coefficients (PCCs) are conducted each year widely across economics, business, education, psychology, and medical research. To address these biases, we offer a new weighted average, UWLS[subscript +3]. UWLS[subscript…
Descriptors: Meta Analysis, Correlation, Bias, Sample Size
Stephan B. Bruns; Teshome K. Deressa; T. D. Stanley; Chris Doucouliagos; John P. A. Ioannidis – Research Synthesis Methods, 2024
Using a sample of 70,399 published p-values from 192 meta-analyses, we empirically estimate the counterfactual distribution of p-values in the absence of any biases. Comparing observed p-values with counterfactually expected p-values allows us to estimate how many p-values are published as being statistically significant when they should have been…
Descriptors: Meta Analysis, Research Reports, Research Design, Microeconomics
František Bartoš; Maximilian Maier; Eric-Jan Wagenmakers; Franziska Nippold; Hristos Doucouliagos; John P. A. Ioannidis; Willem M. Otte; Martina Sladekova; Teshome K. Deresssa; Stephan B. Bruns; Daniele Fanelli; T. D. Stanley – Research Synthesis Methods, 2024
Publication selection bias undermines the systematic accumulation of evidence. To assess the extent of this problem, we survey over 68,000 meta-analyses containing over 700,000 effect size estimates from medicine (67,386/597,699), environmental sciences (199/12,707), psychology (605/23,563), and economics (327/91,421). Our results indicate that…
Descriptors: Publications, Selection, Bias, Meta Analysis
