How measurement of outcomes affects the interpretation and understanding of effect sizes, Margaret Burchinal, University of North Carolina

Publication Date: March 5, 2007

Current as of: December 18, 2018

Effect sizes describe the magnitude of findings from statistical analyses. They provide a common metric and allow for easy comparison of findings across studies and across outcomes. Effect sizes are recognized standards that are not influenced by sample size, but the impact of measurement on estimated effect sizes is too often ignored. This paper describes why effect sizes are effected by measurement precision, briefly discusses measurement precision across age and developmental domain, and describes how different types of effect sizes are effected by measurement precision.

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