Stanton has published research in job satisfaction, work-related stress, psychometrics, and statistics with a focus on self report techniques. He has conducted projects that have applied the principles of behavioral science and organizational research towards understanding the interactions of people and technology in institutional contexts.

My interests in statistics have led directly into research on data mining and machine learning. As a result, I have begun to work in an emerging area called applied data science, which focuses on the management, analysis, and visualization of large data sets. I have published many scholarly articles in peer-reviewed behavioral science journals, such as the Journal of Applied Psychology, Personnel Psychology, and Human Performance. My articles also appear in Computers and Security, Communications of the ACM, Computers in Human Behavior, the International Journal of Human-Computer Interaction, Information Technology and People, the Journal of Information Systems Education, the Journal of Digital Information, Surveillance and Society, and Behaviour Information Technology.