My research evaluates, improves, and develops research methods of a statistical and measurement nature for fields that use psychological, behavioral, or social data. My primarily research areas are the design of research studies and the analysis of data. Most of my work is about the interplay between effect size, confidence intervals, and sample size planning. My work depends heavily on statistical computing, with most of the methods I have developed implemented in my MBESS R package. In addition to my methodological work, I collaborate in a variety of areas in which I develop needed or apply advanced or nonstandard methods.

See the new edition of Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) and its accompanying website at DesigningExperiments.Com.


                    Ken Kelley, PhD

Professor of IT, Analytics, and Operations

Associate Dean for Faculty and Research

         Mendoza College of Business

             University of Notre Dame

           Notre Dame, Indiana 46556