Ken Kelley is the Edward F. Sorin Society Professor in the Department of IT, Analytics, and Operations at the Mendoza College of Business at the University of Notre Dame, where he also holds a concurrent appointment in the Department of Psychology. His research centers on advancing quantitative methods for human-centered inquiry, emphasizing methodological rigor and innovation at the intersection of data science, psychometrics, and statistics.
Kelley’s methodological contributions focus primarily on research design and statistical inference, with particular expertise in effect size estimation, confidence intervals, sample size planning, mediation models, and the analysis of change. He is the lead developer of the MBESS and BUCCS R packages, which support researchers in applying advanced statistical techniques. He has authored or co-authored over 70 peer-reviewed publications and has been cited more than 16,500 times according to Google Scholar. He is co-author of Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition), which received the Barbara Byrne Award for Outstanding Book or Edited Volume.
Kelley’s interdisciplinary work bridges psychology, statistics, and analytics, with applications in business and other human-centered domains. He is a co-director of the Human-centered Analytics Lab (HAL), an interdisciplinary research initiative that integrates information technology, psychology, and methodology to address complex analytic problems.
Kelley is an Accredited Professional Statistician™ (PStat®) by the American Statistical Association, a Fellow of both the American Psychological Association (Division 5: Evaluation, Measurement, and Statistics) and the Association for Psychological Science (Quantitative Psychology), and an elected member of the Society of Multivariate Experimental Psychology. He is a former associate editor of Psychological Methods and a recipient of the Anne Anastasi Early Career Award.
At Notre Dame, he teaches Human-centered Analytics: Design, Measurement, and Analysis, a doctoral seminar for students in analytics, management, and the social sciences.
Website: https://www3.nd.edu/~kkelley/
