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Professor Kelley is in the analytics group within the ITAO Department and works to advance analytic methods in his research in a variety of ways from a variety of perspectives to improve the methods used in human-centered research, from the foundational area of psychology to applied areas in business. His work crosses several traditional disciplinary boundaries, which he believes is important when considering various aspects of the human condition. More specifically, he evaluates, improves, and develops methods to better study human-centered research from a methodological perspective. The entire effort is in the data science space, particularly from the psychometric and statistical traditions of framing inferential questions. His most significant methodological contributions are in research design involving the interplay between effect size, confidence intervals, statistical significance, and sample size planning. My work depends heavily on statistical computing, with most of the methods I have developed implemented in R packages (e.g., MBESS, BUCCS, SMRD). In addition to methodological work, he collaborates in a variety of human-centered areas in which I develop needed or apply advanced or nonstandard methods to best address questions. Kelley is co-director of the Human-centered Analytics Lab (HAL) in the Mendoza College of Business. HAL is an interdisciplinary mash-up of technology, psychology, methodology, and business.
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ACM Trans. Inf. Syst.no. 4 (2023): 100:1-100:34
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Psychological methods (2023)
Multilevel Modeling Using Rpp.63-74, (2019)
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