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In this upcoming TI Methods Speaker Series webinar, Matthew B. Jané,  graduate student in quantitative psychology at the University of Connecticut, will talk about his new online, open-access book providing a rigorous overview of study artifacts, their impact on research findings, and appropriate corrections.

About the topic: 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.

About the speaker: Matthew B. Jané is a graduate student in quantitative psychology at the University of Connecticut. He is affiliated with the Systematic Health Action Research Program where he is advised by Blair T. Johnson. Matthew’s research interests are broadly related to statistical methods for meta-analysis and psychological measurement with a special focus on correcting study artifacts that bias research findings. He is the lead author of the “Guide to Effect Sizes and Confidence Intervals”, an open-access online book dedicated to helping researchers calculate and interpret various types of effect sizes. Matthew is also currently working on two additional open-access books “Artifact Corrections for Effect Sizes: Seeing Reality for What It Is” and “Meta-Analysis Dark Magic: Extracting Hidden Statistics from Primary Studies“.  Beyond his scholarly pursuits, Matthew engages with the academic community via twitter/X (@MatthewBJane) and through regular posts on his blog Meta-Analysis Magic.