Measuring Effect Sizes: The Effect of Measurement Error, 2008

This research brief estimates the overall extent of test measurement error and how this can impact effect size estimates. Magnitudes of effect sizes are critically important in cost-benefit analyses and when making comparisons across different outcome measures.

Authors:  Donald Boyd (SUNY at Albany), Hamilton Lankford (SUNY at Albany), Susanna Loeb (Stanford University), James Wyckoff (University of Virginia), Pam Gorssman (Stanford University)

Paper Title: Measuring Effect Sizes: the Effect of Measurement Error

go to the website:  http://www.wcer.wisc.edu/news/events/natConf_papers.php