Improve your capacity to understand and apply a range of measures including: standardized measures of effect sizes from Cohen, Glass, and Hedges; Eta-squared; Omega-squared; the Intraclass correlation coefficient; and Cramer’s V. Answer the call to report effect size and association measures as part of your evaluation results. Together we will explore how to select the best measures, how to perform the needed calculations, and how to analyze, interpret, and report on the output in ways that strengthen your overall evaluation.
Through mini-lecture, hands-on exercises, and computer-based demonstration, you will improve your understanding of the theoretical foundation and computational procedures for each measure as well as ways to identify and correct for bias.
You will learn:
Jack Barnette is Professor of Biostatistics at the University of Colorado School of Public Health. He has taught courses in statistical methods, program evaluation, and survey methodology for more than 30 years. He has been conducting research and writing on this topic for more than ten years. Jack is a regular facilitator both at AEA's annual conference and the CDC/AEA Summer Evaluation Institute. He was awarded the Outstanding Commitment to Teaching Award by the University of Alabama and is a member of the ASPH/Pfizer Academy of Distinguished Public Health Teachers.