Webinar - April 27 - Artifact Corrections for Effect Sizes

[Sandra Ketler]

Artifact Corrections for Effect Sizes is an online, open-access book providing a rigorous overview of study artifacts, their impact on research findings, and appropriate corrections. Artifacts such as measurement error and selection effects are sources of contamination in research studies that can introduce substantial bias in effect size estimates. Primary studies and evidence syntheses (i.e., meta-analysis) will both suffer from artifact contamination, and thus appropriate corrections should be applied to mitigate the bias induced by study artifacts. This book begins by defining both effect sizes and artifacts from measure-theoretic principles, with subsequent chapters describing various types of artifacts including small sample bias, measurement error, dichotomization, misclassification, scale coarseness, and direct/indirect selection. The last two chapters discuss how to implement these artifact corrections in meta-analysis. Each chapter is accompanied by R code and practical examples using real-world data, ensuring readers are well prepared to apply artifact corrections in their own research.

Registration link for zoom webinar
https://ubc.zoom.us/meeting/register/u5cpd-2pqj8tG902Y-RSrNyBOYzX-PpnRtkR#/registration