Ken Kelley is a senior academic leader and methodologist with over a decade of experience advancing statistical design and analysis in human-centered fields, serving as Senior Associate Dean for Faculty and Research and Edward F. Sorin Society Professor at the University of Notre Dame. He develops and evaluates novel analytic methods—particularly for study design, effect size estimation, and confidence interval formation—applied to management, education, psychology, and behavioral research. A seasoned educator, he teaches statistics across Notre Dame’s analytics programs while partnering on interdisciplinary projects to translate advanced methods into substantive insights. Known for blending rigorous methodology with practical study concerns, he brings a rare combination of administrative leadership and hands-on analytic innovation grounded in deep academic roots at Notre Dame.
10 years of coding experience
Bachelor's degree, Bachelor's degree at University of Cincinnati
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at University of Notre Dame
MBESS is an R Package, originally released in 2004, that implements methods that useful in designing research studies and analyzing data. MBESS is useful for effect sizes, confidence intervals, sample size planning, and mediation analysis.
Contributions:1 release, 10 commits, 2 PRs in 2 years 2 months
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Ken Kelley - Senior Associate Dean For Faculty And Research