Jeffrey M. Stanton, Ph.D. (University of Connecticut, 1997) is a professor in the School of Information Studies at Syracuse University. He specializes in research methods, psychometrics, and statistics with a particular focus on self report techniques such as surveys. He also conducts research on a variety of substantive topics, by applying the principles of behavioral science and organizational research towards understanding the interactions of people and technology in institutional contexts. One substantive area is behavioral information security, an effort to help understand and influence the ways in which employee behavior impacts an organization’s success with information security. A second area is IT workforce equity, an effort to promote higher participation of women and members of underrepresented groups in the information professions. He is the author with Dr. Kathryn Stam of the book, The Visible Employee: Using Workplace Monitoring and Surveillance to Protect Information Assets Without Compromising Employee Privacy or Trust (2006, Information Today, ISBN: 0910965749). He is also the author of, Information Nation: Education and Careers in the Emerging Information Professions (2010), with Dr. Indira Guzman and Dr. Kathryn Stam.
Stanton has published many scholarly articles in peer-reviewed behavioral science journals, such as the Journal of Applied Psychology, Personnel Psychology, and Human Performance. His 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. He also has published numerous book chapters on privacy, research methods, and program evaluation. Dr. Stanton’s methodological expertise in psychometrics includes the measurement of job satisfaction and job stress, as well as research on creating abridged versions of scales and conducting survey research on the Internet; he is on the editorial board of Organizational Research Methods, the premier methodological journal in the field of management. Dr. Stanton's research has been supported through 18 grants and supplements including the National Science Foundation’s CAREER award.
Dr. Stanton's background also includes more than a decade of experience in business both in established firms and start-up companies. In 1995, Stanton worked as a human resources analyst for Applied Psychological Techniques, a human resource consulting firm based in Darien, Connecticut. His projects at this firm included the development, implementation, and assessment of a performance appraisal system, development of a selection battery for customer service representatives, and the creation of a job classification and work standards system for over 350 positions in the public utilities industry.
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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 data science, which focuses on the management, analysis, and visualization of large data sets.
While at the School of Information Studies, I have taught a variety of courses, at the undergraduate, master's, and doctoral levels. I helped to design the school's "Innovation Studio," which is a classroom environment designed to encourage hands-on, active, problem-focused work and to discourage lecturing. One of the most fun classes I taught in the Innovation Studio was "Design and Virtual Worlds," a class that taught students from a range of backgrounds the tools and strategies for creating immersive, three dimensional, virtual social environments.
Over the past 20 years I have done organizational consulting in a variety of for profit and non-profit firms. This work has included the development of performance management systems, organizational surveys, information security assessments, climate assessments, training, and coaching. At present I am a co-principal investigator on Syracuse University's NSF-ADVANCE institutional transformation project, an effort to improve recruiting, retention, and career development for women faculty in science, technology, engineering, and mathematics disciplines.
I am a songwriter and musician (mainly bass and guitar). Give a listen if you like (http://www.reverbnation.com/eplay/artist_643618).