Power and Sample Size for Research Studies

May 18, 2016

This workshop will provide an introduction to the meaning and logic of power in research studies, and determining sample size required to achieve desired power. We'll review what power means and how it relates to statistical tests, effect sizes, standard deviations, and sample size. Emphasis will be on the basic elements of a good power analysis, applicable to any analysis technique, and several illustrative examples for specific techniques will be presented. 

Prerequisites: A working knowledge of basic statistical procedures, such as t-tests, analysis of variance and linear regression is assumed.

Instructor: Dr. Scott Richter is Professor in the Department of Mathematics and Statistics and Director of the UNCG Statistical Consulting Center. He teaches undergraduate and graduate level courses in statistical methodology, and consults extensively with researchers across campus. More information can be found at http://www.uncg.edu/mat/people/people.php?username=sjricht2.

Workshop files:

PSS Workshop Notes









Contact Us

Quantitative Methodology Series

The University of North Carolina at Greensboro
Department of Mathematics & Statistics
116 Petty Building
PO Box 26170
Greensboro, NC 27402-6170

Scott Richter, Ph.D.

Professor, Department of Mathematics and Statistics
Director of Statistical Consulting Center

John Willse, PSY.D.

Associate Professor and Department Chair, Educational Research Methodology